Package evaluation to test BOSS on Julia 1.14.0-DEV.1871 (50d44f5be7*) started at 2026-03-08T22:55:18.474


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 14.59s


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# Installation
#

Installing BOSS...
   Resolving package versions...
   Installed CompositionsBase ──────────── v0.1.2
   Installed Rmath_jll ─────────────────── v0.5.1+0
   Installed MicroCollections ──────────── v0.2.0
   Installed CommonSolve ───────────────── v0.2.6
   Installed DefineSingletons ──────────── v0.1.2
   Installed MacroTools ────────────────── v0.5.16
   Installed FillArrays ────────────────── v1.16.0
   Installed DataStructures ────────────── v0.19.3
   Installed AbstractTrees ─────────────── v0.4.5
   Installed Adapt ─────────────────────── v4.5.0
   Installed ConstructionBase ──────────── v1.6.0
   Installed RuntimeGeneratedFunctions ─── v0.5.17
   Installed HypergeometricFunctions ───── v0.3.28
   Installed AliasTables ───────────────── v1.1.3
   Installed SparseMatrixColorings ─────── v0.4.24
   Installed OrderedCollections ────────── v1.8.1
   Installed SymbolicIndexingInterface ─── v0.3.46
   Installed ExprTools ─────────────────── v0.1.10
   Installed StatsBase ─────────────────── v0.34.10
   Installed Functors ──────────────────── v0.5.2
   Installed ArrayInterface ────────────── v7.23.0
   Installed Optimization ──────────────── v5.5.0
   Installed IteratorInterfaceExtensions ─ v1.0.0
   Installed Compat ────────────────────── v4.18.1
   Installed FunctionWrappersWrappers ──── v0.1.3
   Installed ProgressLogging ───────────── v0.1.6
   Installed RecipesBase ───────────────── v1.3.4
   Installed PreallocationTools ────────── v1.1.2
   Installed SciMLOperators ────────────── v1.15.1
   Installed DataAPI ───────────────────── v1.16.0
   Installed EnzymeCore ────────────────── v0.8.18
   Installed TensorCore ────────────────── v0.1.1
   Installed Statistics ────────────────── v1.11.1
   Installed ConsoleProgressMonitor ────── v0.1.2
   Installed BOSS ──────────────────────── v0.6.0
   Installed ExproniconLite ────────────── v0.10.14
   Installed PrecompileTools ───────────── v1.3.3
   Installed InitialValues ─────────────── v0.3.1
   Installed StatsAPI ──────────────────── v1.8.0
   Installed AbstractPPL ───────────────── v0.14.1
   Installed DataValueInterfaces ───────── v1.0.0
   Installed ArgCheck ──────────────────── v2.5.0
   Installed SciMLStructures ───────────── v1.10.0
   Installed ProgressMeter ─────────────── v1.11.0
   Installed StaticArraysCore ──────────── v1.4.4
   Installed LoggingExtras ─────────────── v1.2.0
   Installed LogDensityProblems ────────── v2.2.0
   Installed StructUtils ───────────────── v2.6.3
   Installed AbstractGPs ───────────────── v0.5.24
   Installed IrrationalConstants ───────── v0.2.6
   Installed SparseConnectivityTracer ──── v1.2.1
   Installed GPUArraysCore ─────────────── v0.2.0
   Installed ChainRulesCore ────────────── v1.26.0
   Installed Distances ─────────────────── v0.10.12
   Installed BangBang ──────────────────── v0.4.8
   Installed QuadGK ────────────────────── v2.11.2
   Installed TerminalLoggers ───────────── v0.1.7
   Installed SciMLPublic ───────────────── v1.0.1
   Installed OpenSpecFun_jll ───────────── v0.5.6+0
   Installed FunctionWrappers ──────────── v1.1.3
   Installed Requires ──────────────────── v1.3.1
   Installed StableRNGs ────────────────── v1.0.4
   Installed LogExpFunctions ───────────── v0.3.29
   Installed LeftChildRightSiblingTrees ── v0.2.1
   Installed JSON ──────────────────────── v1.4.0
   Installed Parsers ───────────────────── v2.8.3
   Installed Rmath ─────────────────────── v0.9.0
   Installed Roots ─────────────────────── v2.2.13
   Installed SciMLBase ─────────────────── v2.148.0
   Installed Distributions ─────────────── v0.25.123
   Installed KernelFunctions ───────────── v0.10.67
   Installed FastClosures ──────────────── v0.3.2
   Installed SplittablesBase ───────────── v0.1.15
   Installed StatsFuns ─────────────────── v1.5.2
   Installed Tables ────────────────────── v1.12.1
   Installed Transducers ───────────────── v0.4.85
   Installed SciMLLogging ──────────────── v1.9.1
   Installed PtrArrays ─────────────────── v1.4.0
   Installed AbstractMCMC ──────────────── v5.14.0
   Installed EnumX ─────────────────────── v1.0.7
   Installed Reexport ──────────────────── v1.2.2
   Installed Jieko ─────────────────────── v0.2.1
   Installed SpecialFunctions ──────────── v2.7.1
   Installed Missings ──────────────────── v1.2.0
   Installed Baselet ───────────────────── v0.1.1
   Installed JLLWrappers ───────────────── v1.7.1
   Installed InverseFunctions ──────────── v0.1.17
   Installed Setfield ──────────────────── v1.1.2
   Installed Preferences ───────────────── v1.5.2
   Installed Moshi ─────────────────────── v0.3.7
   Installed OptimizationBase ──────────── v5.0.0
   Installed ZygoteRules ───────────────── v0.2.7
   Installed TableTraits ───────────────── v1.0.1
   Installed MappedArrays ──────────────── v0.4.3
   Installed PDMats ────────────────────── v0.11.37
   Installed SortingAlgorithms ─────────── v1.2.2
   Installed DensityInterface ──────────── v0.4.0
   Installed ChangesOfVariables ────────── v0.1.10
   Installed RecursiveArrayTools ───────── v3.48.0
   Installed ADTypes ───────────────────── v1.21.0
   Installed Bijectors ─────────────────── v0.15.18
   Installed DocStringExtensions ───────── v0.9.5
   Installed Accessors ─────────────────── v0.1.43
   Installed DifferentiationInterface ──── v0.7.16
   Installed LatinHypercubeSampling ────── v1.9.0
  Installing 2 artifacts
   Installed artifact Rmath       121.9 KiB
   Installed artifact OpenSpecFun 194.9 KiB
    Updating `~/.julia/environments/v1.14/Project.toml`
  [15052f3f] + BOSS v0.6.0
    Updating `~/.julia/environments/v1.14/Manifest.toml`
  [47edcb42] + ADTypes v1.21.0
  [99985d1d] + AbstractGPs v0.5.24
  [80f14c24] + AbstractMCMC v5.14.0
  [7a57a42e] + AbstractPPL v0.14.1
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.43
  [79e6a3ab] + Adapt v4.5.0
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.5.0
  [4fba245c] + ArrayInterface v7.23.0
  [15052f3f] + BOSS v0.6.0
  [198e06fe] + BangBang v0.4.8
  [9718e550] + Baselet v0.1.1
  [76274a88] + Bijectors v0.15.18
  [d360d2e6] + ChainRulesCore v1.26.0
  [9e997f8a] + ChangesOfVariables v0.1.10
  [38540f10] + CommonSolve v0.2.6
  [34da2185] + Compat v4.18.1
  [a33af91c] + CompositionsBase v0.1.2
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.6.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.19.3
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [b429d917] + DensityInterface v0.4.0
  [a0c0ee7d] + DifferentiationInterface v0.7.16
  [b4f34e82] + Distances v0.10.12
  [31c24e10] + Distributions v0.25.123
  [ffbed154] + DocStringExtensions v0.9.5
  [4e289a0a] + EnumX v1.0.7
  [f151be2c] + EnzymeCore v0.8.18
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [9aa1b823] + FastClosures v0.3.2
  [1a297f60] + FillArrays v1.16.0
  [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
  [22cec73e] + InitialValues v0.3.1
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.6
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.1
  [682c06a0] + JSON v1.4.0
  [ae98c720] + Jieko v0.2.1
  [ec8451be] + KernelFunctions v0.10.67
  [a5e1c1ea] + LatinHypercubeSampling v1.9.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1
  [6fdf6af0] + LogDensityProblems v2.2.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
  [1914dd2f] + MacroTools v0.5.16
  [dbb5928d] + MappedArrays v0.4.3
  [128add7d] + MicroCollections v0.2.0
  [e1d29d7a] + Missings v1.2.0
  [2e0e35c7] + Moshi v0.3.7
  [7f7a1694] + Optimization v5.5.0
  [bca83a33] + OptimizationBase v5.0.0
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.37
  [69de0a69] + Parsers v2.8.3
  [d236fae5] + PreallocationTools v1.1.2
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.2
  [33c8b6b6] + ProgressLogging v0.1.6
  [92933f4c] + ProgressMeter v1.11.0
  [43287f4e] + PtrArrays v1.4.0
  [1fd47b50] + QuadGK v2.11.2
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.48.0
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.9.0
  [f2b01f46] + Roots v2.2.13
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.17
  [0bca4576] + SciMLBase v2.148.0
  [a6db7da4] + SciMLLogging v1.9.1
  [c0aeaf25] + SciMLOperators v1.15.1
  [431bcebd] + SciMLPublic v1.0.1
  [53ae85a6] + SciMLStructures v1.10.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.2
  [9f842d2f] + SparseConnectivityTracer v1.2.1
  [0a514795] + SparseMatrixColorings v0.4.24
  [276daf66] + SpecialFunctions v2.7.1
  [171d559e] + SplittablesBase v0.1.15
  [860ef19b] + StableRNGs v1.0.4
  [1e83bf80] + StaticArraysCore v1.4.4
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
  [2913bbd2] + StatsBase v0.34.10
  [4c63d2b9] + StatsFuns v1.5.2
  [ec057cc2] + StructUtils v2.6.3
  [2efcf032] + SymbolicIndexingInterface v0.3.46
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [62fd8b95] + TensorCore v0.1.1
  [5d786b92] + TerminalLoggers v0.1.7
  [28d57a85] + Transducers v0.4.85
  [700de1a5] + ZygoteRules v0.2.7
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.13.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] + OpenBLAS_jll v0.3.30+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [8e850b90] + libblastrampoline_jll v5.15.0+0

Installation completed after 13.02s


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# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling packages...
   4059.5 ms  ✓ TestEnv
  1 dependency successfully precompiled in 4 seconds. 27 already precompiled.

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/VOudJ/src/julia-1.13/activate_set.jl:78
Precompiling package dependencies...
Precompiling packages...
   4824.8 ms  ✓ MacroTools
    972.6 ms  ✓ Reexport
   1069.0 ms  ✓ MappedArrays
    922.8 ms  ✓ TensorCore
   1221.6 ms  ✓ ConstructionBase
   2371.5 ms  ✓ IrrationalConstants
   1042.1 ms  ✓ ChangesOfVariables
    850.3 ms  ✓ DataValueInterfaces
    863.7 ms  ✓ MistyClosures
    964.5 ms  ✓ StatsAPI
   1350.5 ms  ✓ IterTools
   1184.0 ms  ✓ IntervalSets
   2518.7 ms  ✓ Combinatorics
   1064.9 ms  ✓ ArgCheck
    903.2 ms  ✓ CommonSolve
    974.9 ms  ✓ LaTeXStrings
   2531.7 ms  ✓ Baselet
   1208.1 ms  ✓ Statistics
   1074.2 ms  ✓ StaticArraysCore
   1027.0 ms  ✓ StableRNGs
    917.6 ms  ✓ PtrArrays
    834.8 ms  ✓ NaturalSort
    951.0 ms  ✓ PositiveFactorizations
    889.6 ms  ✓ DataAPI
    919.1 ms  ✓ SciMLPublic
   3869.4 ms  ✓ ExproniconLite
    887.5 ms  ✓ RealDot
    946.0 ms  ✓ InvertedIndices
   1761.9 ms  ✓ RandomNumbers
   1016.9 ms  ✓ InverseFunctions
    927.5 ms  ✓ CompositionsBase
   1236.7 ms  ✓ AbstractTrees
   1766.5 ms  ✓ InitialValues
    896.4 ms  ✓ MuladdMacro
   1159.4 ms  ✓ AbstractFFTs
    979.8 ms  ✓ EnumX
   2421.9 ms  ✓ FillArrays
    983.2 ms  ✓ ExprTools
    872.4 ms  ✓ IntegerMathUtils
    898.0 ms  ✓ RangeArrays
   1450.5 ms  ✓ OrderedCollections
   1570.2 ms  ✓ FunctionWrappers
   1490.0 ms  ✓ ADTypes
   1150.5 ms  ✓ ProgressLogging
   1190.9 ms  ✓ DocStringExtensions
    892.4 ms  ✓ FastClosures
    895.6 ms  ✓ DefineSingletons
   1727.3 ms  ✓ OffsetArrays
    831.9 ms  ✓ IteratorInterfaceExtensions
   2195.5 ms  ✓ Crayons
   1092.5 ms  ✓ DelimitedFiles
   3262.1 ms  ✓ Chairmarks
   1144.1 ms  ✓ NaNMath
   1408.0 ms  ✓ Requires
   2060.5 ms  ✓ PDMats
   1269.4 ms  ✓ SparseInverseSubset
   1754.7 ms  ✓ WoodburyMatrices
   1449.3 ms  ✓ LoggingExtras
   2007.5 ms  ✓ StructUtils
   2029.8 ms  ✓ ProgressMeter
   1395.0 ms  ✓ ScientificTypesBase
   1230.4 ms  ✓ Compat
   1641.2 ms  ✓ Preferences
   1858.2 ms  ✓ CommonSubexpressions
    858.7 ms  ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt
   4430.8 ms  ✓ ChangesOfVariables → ChangesOfVariablesTestExt
   3161.1 ms  ✓ Libtask
    843.5 ms  ✓ IntervalSets → IntervalSetsRandomExt
    882.8 ms  ✓ ConstructionBase → ConstructionBaseIntervalSetsExt
   1650.4 ms  ✓ Statistics → SparseArraysExt
   1687.7 ms  ✓ Distances
    921.4 ms  ✓ IntervalSets → IntervalSetsStatisticsExt
    988.3 ms  ✓ DiffResults
   1069.2 ms  ✓ AliasTables
   1049.7 ms  ✓ Missings
   3089.7 ms  ✓ Jieko
   1875.7 ms  ✓ Random123
   1268.9 ms  ✓ InverseFunctions → InverseFunctionsDatesExt
   1438.2 ms  ✓ InverseFunctions → InverseFunctionsTestExt
    919.9 ms  ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt
    850.4 ms  ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt
    907.3 ms  ✓ LeftChildRightSiblingTrees
   4575.6 ms  ✓ AbstractFFTs → AbstractFFTsTestExt
   1801.3 ms  ✓ FillArrays → FillArraysSparseArraysExt
   1171.3 ms  ✓ FillArrays → FillArraysStatisticsExt
   1003.7 ms  ✓ RuntimeGeneratedFunctions
   1292.7 ms  ✓ Primes
   3918.3 ms  ✓ DataStructures
    852.0 ms  ✓ FunctionWrappersWrappers
    867.0 ms  ✓ ADTypes → ADTypesConstructionBaseExt
   2109.8 ms  ✓ DifferentiationInterface
   1529.8 ms  ✓ LogExpFunctions
   2269.7 ms  ✓ LogDensityProblems
    856.5 ms  ✓ TableTraits
    890.9 ms  ✓ Chairmarks → StatisticsChairmarksExt
    885.8 ms  ✓ Ratios
   1014.6 ms  ✓ Adapt
   2624.5 ms  ✓ TypeUtils
   1681.0 ms  ✓ FillArrays → FillArraysPDMatsExt
   1631.7 ms  ✓ AxisAlgorithms
    974.9 ms  ✓ ConsoleProgressMonitor
   1366.6 ms  ✓ StatisticalTraits
    901.0 ms  ✓ Compat → CompatLinearAlgebraExt
   1293.3 ms  ✓ PrecompileTools
   1599.5 ms  ✓ JLLWrappers
   2399.7 ms  ✓ SciMLLogging
   3116.3 ms  ✓ Setfield
   2016.9 ms  ✓ AxisArrays
   2704.0 ms  ✓ NamedArrays
   1721.2 ms  ✓ Distances → DistancesSparseArraysExt
  17594.8 ms  ✓ Moshi
   1810.7 ms  ✓ DensityInterface
   5541.0 ms  ✓ Accessors
   1983.3 ms  ✓ TerminalLoggers
   9669.8 ms  ✓ SparseConnectivityTracer
   2747.9 ms  ✓ FFTA
   1142.1 ms  ✓ SortingAlgorithms
   2308.0 ms  ✓ QuadGK
   1448.3 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt
    878.3 ms  ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt
    904.6 ms  ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt
   1207.1 ms  ✓ LogDensityProblemsAD
   2014.2 ms  ✓ Tables
   1210.4 ms  ✓ ArrayInterface
   1515.0 ms  ✓ Adapt → AdaptSparseArraysExt
   1398.6 ms  ✓ GPUArraysCore
    922.3 ms  ✓ OffsetArrays → OffsetArraysAdaptExt
    936.0 ms  ✓ TypeUtils → TypeUtilsOffsetArraysExt
   3759.4 ms  ✓ MLJModelInterface
   3015.1 ms  ✓ ChainRulesCore
   7622.7 ms  ✓ Aqua
   1377.6 ms  ✓ Functors
   4317.7 ms  ✓ StringManipulation
  14552.2 ms  ✓ StaticArrays
   3715.2 ms  ✓ RecipesBase
  17391.8 ms  ✓ Parsers
  13170.9 ms  ✓ SparseMatrixColorings
   2427.1 ms  ✓ Rmath_jll
   2377.8 ms  ✓ OpenSpecFun_jll
   2504.2 ms  ✓ PRIMA_jll
   3702.5 ms  ✓ SplittablesBase
   2324.4 ms  ✓ Accessors → TestExt
   3181.3 ms  ✓ Accessors → IntervalSetsExt
   3124.2 ms  ✓ Accessors → LinearAlgebraExt
   3356.8 ms  ✓ SparseConnectivityTracer → SparseConnectivityTracerNaNMathExt
   2582.6 ms  ✓ SparseConnectivityTracer → SparseConnectivityTracerLogExpFunctionsExt
   1942.7 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseConnectivityTracerExt
   4946.7 ms  ✓ StatsBase
   1094.0 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADADTypesExt
   1800.5 ms  ✓ StructArrays
   1329.9 ms  ✓ StructUtils → StructUtilsTablesExt
    842.1 ms  ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt
   1545.3 ms  ✓ ArrayInterface → ArrayInterfaceSparseArraysExt
   2273.8 ms  ✓ SciMLStructures
   3355.2 ms  ✓ PreallocationTools
    926.0 ms  ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt
    894.7 ms  ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt
   1798.3 ms  ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt
   2581.4 ms  ✓ ZygoteRules
    998.1 ms  ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt
    914.1 ms  ✓ ADTypes → ADTypesChainRulesCoreExt
    992.8 ms  ✓ Distances → DistancesChainRulesCoreExt
    996.0 ms  ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt
   3491.6 ms  ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt
   2142.2 ms  ✓ SparseConnectivityTracer → SparseConnectivityTracerChainRulesCoreExt
    961.4 ms  ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt
   3106.7 ms  ✓ Optimisers
  42340.1 ms  ✓ PrettyTables
   1842.1 ms  ✓ StaticArrays → StaticArraysStatisticsExt
   1858.3 ms  ✓ StaticArrays → StaticArraysChainRulesCoreExt
   1812.8 ms  ✓ ConstructionBase → ConstructionBaseStaticArraysExt
   1973.4 ms  ✓ FillArrays → FillArraysStaticArraysExt
   1823.6 ms  ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt
   1751.0 ms  ✓ Adapt → AdaptStaticArraysExt
   1887.2 ms  ✓ Accessors → StaticArraysExt
   1648.8 ms  ✓ IntervalSets → IntervalSetsRecipesBaseExt
   8233.1 ms  ✓ JSON
   2298.4 ms  ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt
   1943.3 ms  ✓ Rmath
   5497.4 ms  ✓ SpecialFunctions
   1993.2 ms  ✓ PRIMA
   2026.3 ms  ✓ BangBang
   7278.1 ms  ✓ Roots
   5185.0 ms  ✓ SciMLOperators
   2383.7 ms  ✓ LatinHypercubeSampling
   1707.4 ms  ✓ PDMats → StatsBaseExt
   1127.5 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADDifferentiationInterfaceExt
   1585.0 ms  ✓ StructArrays → StructArraysSparseArraysExt
   1062.5 ms  ✓ StructArrays → StructArraysLinearAlgebraExt
   1045.6 ms  ✓ StructArrays → StructArraysAdaptExt
   2182.9 ms  ✓ StructArrays → StructArraysStaticArraysExt
   1482.5 ms  ✓ Accessors → StructArraysExt
   1454.2 ms  ✓ FiniteDiff
   4234.4 ms  ✓ SymbolicIndexingInterface
   2413.1 ms  ✓ PreallocationTools → PreallocationToolsSparseConnectivityTracerExt
   1131.4 ms  ✓ Optimisers → OptimisersAdaptExt
   4614.3 ms  ✓ Interpolations
   4562.1 ms  ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt
   2529.5 ms  ✓ HypergeometricFunctions
   1362.3 ms  ✓ DiffRules
   3940.7 ms  ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt
   1626.8 ms  ✓ BangBang → BangBangChainRulesCoreExt
   1611.9 ms  ✓ BangBang → BangBangTablesExt
   1650.8 ms  ✓ BangBang → BangBangStructArraysExt
   2250.8 ms  ✓ BangBang → BangBangStaticArraysExt
   3330.7 ms  ✓ MicroCollections
   1650.0 ms  ✓ Roots → RootsChainRulesCoreExt
   1452.6 ms  ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt
   1834.6 ms  ✓ SciMLOperators → SciMLOperatorsSparseArraysExt
  12008.9 ms  ✓ ChainRules
   1921.4 ms  ✓ FiniteDiff → FiniteDiffStaticArraysExt
   1563.1 ms  ✓ FiniteDiff → FiniteDiffSparseArraysExt
   1105.9 ms  ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt
   4034.1 ms  ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt
   9346.0 ms  ✓ RecursiveArrayTools
  11278.5 ms  ✓ KernelFunctions
   3122.8 ms  ✓ StatsFuns
   7705.8 ms  ✓ ForwardDiff
   8801.8 ms  ✓ Transducers
   1796.4 ms  ✓ ArrayInterface → ArrayInterfaceChainRulesExt
   1666.7 ms  ✓ NLSolversBase
   2555.7 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt
   1916.4 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt
   1765.3 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt
   1983.4 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt
   4174.4 ms  ✓ StatsFuns → StatsFunsChainRulesCoreExt
   1483.1 ms  ✓ StatsFuns → StatsFunsInverseFunctionsExt
   9698.6 ms  ✓ Distributions
   2366.5 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
   1913.6 ms  ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt
   1999.7 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt
   3420.3 ms  ✓ PreallocationTools → PreallocationToolsForwardDiffExt
   1757.8 ms  ✓ Roots → RootsForwardDiffExt
   3277.7 ms  ✓ Interpolations → InterpolationsForwardDiffExt
   2037.3 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt
   2495.0 ms  ✓ Transducers → TransducersAdaptExt
   5013.0 ms  ✓ AbstractMCMC
   1728.6 ms  ✓ LineSearches
  33305.1 ms  ✓ SciMLBase
   4324.5 ms  ✓ Distributions → DistributionsTestExt
   3497.2 ms  ✓ Distributions → DistributionsDensityInterfaceExt
   3595.6 ms  ✓ Distributions → DistributionsChainRulesCoreExt
   5348.7 ms  ✓ MCMCDiagnosticTools
   7862.8 ms  ✓ AdvancedHMC
   4458.8 ms  ✓ AbstractPPL
   5364.0 ms  ✓ Optim
   4320.3 ms  ✓ SciMLBase → SciMLBaseChainRulesCoreExt
   4279.2 ms  ✓ SciMLBase → SciMLBaseForwardDiffExt
   3621.8 ms  ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt
   5028.6 ms  ✓ SciMLBase → SciMLBaseDistributionsExt
   4195.3 ms  ✓ SSMProblems
   5087.9 ms  ✓ AdvancedMH
   4369.4 ms  ✓ EllipticalSliceSampling
   4526.2 ms  ✓ KernelDensity
   5788.0 ms  ✓ AbstractGPs
   8315.2 ms  ✓ Bijectors
   6754.6 ms  ✓ AdvancedVI
   9709.3 ms  ✓ DistributionsAD
   3967.7 ms  ✓ AdvancedHMC → AdvancedHMCADTypesExt
   6089.0 ms  ✓ AbstractPPL → AbstractPPLDistributionsExt
   9956.4 ms  ✓ OptimizationBase
   5306.1 ms  ✓ AdvancedPS
   4322.2 ms  ✓ AdvancedMH → AdvancedMHStructArraysExt
   4524.7 ms  ✓ AdvancedMH → AdvancedMHForwardDiffExt
  10220.3 ms  ✓ MCMCChains
   3490.9 ms  ✓ Bijectors → BijectorsForwardDiffExt
   3672.7 ms  ✓ AdvancedVI → AdvancedVIBijectorsExt
   3475.0 ms  ✓ DistributionsAD → DistributionsADForwardDiffExt
   3642.7 ms  ✓ Bijectors → BijectorsDistributionsADExt
  22820.5 ms  ✓ DynamicPPL
   5231.9 ms  ✓ OptimizationPRIMA
    800.2 ms  ✓ OptimizationBase → OptimizationFiniteDiffExt
   1270.6 ms  ✓ OptimizationBase → OptimizationForwardDiffExt
   4224.4 ms  ✓ Optimization
   4311.9 ms  ✓ AdvancedPS → AdvancedPSLibtaskExt
   7675.5 ms  ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt
   7669.6 ms  ✓ AdvancedMH → AdvancedMHMCMCChainsExt
   5736.8 ms  ✓ DynamicPPL → DynamicPPLChainRulesCoreExt
   8812.3 ms  ✓ DynamicPPL → DynamicPPLMCMCChainsExt
   5316.3 ms  ✓ DynamicPPL → DynamicPPLForwardDiffExt
   5239.4 ms  ✓ OptimizationOptimJL
  10998.0 ms  ✓ BOSS
  16415.0 ms  ✓ Turing
  18613.2 ms  ✓ BOSS → TuringExt
  284 dependencies successfully precompiled in 934 seconds. 40 already precompiled.

Precompilation completed after 963.97s


################################################################################
# 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_obc0Gb/Project.toml`
  [4c88cf16] + Aqua v0.8.14
  [15052f3f] + BOSS v0.6.0
  [72f8369c] + OptimizationPRIMA v0.3.5
⌃ [fce5fe82] + Turing v0.42.9
    Updating `/tmp/jl_obc0Gb/Manifest.toml`
  [47edcb42] + ADTypes v1.21.0
  [621f4979] + AbstractFFTs v1.5.0
  [99985d1d] + AbstractGPs v0.5.24
  [80f14c24] + AbstractMCMC v5.14.0
⌅ [7a57a42e] + AbstractPPL v0.13.6
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.43
  [79e6a3ab] + Adapt v4.5.0
  [0bf59076] + AdvancedHMC v0.8.3
  [5b7e9947] + AdvancedMH v0.8.10
  [576499cb] + AdvancedPS v0.7.2
  [b5ca4192] + AdvancedVI v0.6.2
  [4c88cf16] + Aqua v0.8.14
  [dce04be8] + ArgCheck v2.5.0
  [4fba245c] + ArrayInterface v7.23.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [39de3d68] + AxisArrays v0.4.8
  [15052f3f] + BOSS v0.6.0
  [198e06fe] + BangBang v0.4.8
  [9718e550] + Baselet v0.1.1
⌃ [76274a88] + Bijectors v0.15.16
  [082447d4] + ChainRules v1.73.0
  [0ca39b1e] + Chairmarks v1.3.1
  [9e997f8a] + ChangesOfVariables v0.1.10
  [861a8166] + Combinatorics v1.1.0
  [38540f10] + CommonSolve v0.2.6
  [bbf7d656] + CommonSubexpressions v0.3.1
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [a8cc5b0e] + Crayons v4.1.1
  [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 v0.7.16
  [ced4e74d] + DistributionsAD v0.6.58
⌅ [366bfd00] + DynamicPPL v0.39.15
  [cad2338a] + EllipticalSliceSampling v2.0.0
  [4e289a0a] + EnumX v1.0.7
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [b86e33f2] + FFTA v0.3.1
  [9aa1b823] + FastClosures v0.3.2
  [6a86dc24] + FiniteDiff v2.29.0
  [f6369f11] + ForwardDiff v1.3.2
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v0.1.3
  [46192b85] + GPUArraysCore v0.2.0
  [22cec73e] + InitialValues v0.3.1
  [18e54dd8] + IntegerMathUtils v0.1.3
  [a98d9a8b] + Interpolations v0.16.2
  [8197267c] + IntervalSets v0.7.13
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [c8e1da08] + IterTools v1.10.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [682c06a0] + JSON v1.4.0
  [ae98c720] + Jieko v0.2.1
  [5ab0869b] + KernelDensity v0.6.11
  [b964fa9f] + LaTeXStrings v1.4.0
  [a5e1c1ea] + LatinHypercubeSampling v1.9.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1
  [6f1fad26] + Libtask v0.9.14
  [d3d80556] + LineSearches v7.6.0
  [6fdf6af0] + LogDensityProblems v2.2.0
  [996a588d] + LogDensityProblemsAD v1.13.1
  [e6f89c97] + LoggingExtras v1.2.0
  [c7f686f2] + MCMCChains v7.7.0
  [be115224] + MCMCDiagnosticTools v0.3.16
  [e80e1ace] + MLJModelInterface v1.12.1
  [dbb5928d] + MappedArrays v0.4.3
  [128add7d] + MicroCollections v0.2.0
  [dbe65cb8] + MistyClosures v2.1.0
  [2e0e35c7] + Moshi v0.3.7
  [46d2c3a1] + MuladdMacro v0.2.4
  [d41bc354] + NLSolversBase v8.0.0
  [77ba4419] + NaNMath v1.1.3
  [86f7a689] + NamedArrays v0.10.5
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.17.0
  [429524aa] + Optim v2.0.1
  [3bd65402] + Optimisers v0.4.7
  [7f7a1694] + Optimization v5.5.0
  [bca83a33] + OptimizationBase v5.0.0
  [36348300] + OptimizationOptimJL v0.4.10
  [72f8369c] + OptimizationPRIMA v0.3.5
  [0a7d04aa] + PRIMA v0.2.4
  [69de0a69] + Parsers v2.8.3
  [85a6dd25] + PositiveFactorizations v0.2.4
  [d236fae5] + PreallocationTools v1.1.2
  [aea7be01] + PrecompileTools v1.3.3
  [08abe8d2] + PrettyTables v3.2.3
  [27ebfcd6] + Primes v0.5.7
  [33c8b6b6] + ProgressLogging v0.1.6
  [92933f4c] + ProgressMeter v1.11.0
  [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 v3.48.0
  [f2b01f46] + Roots v2.2.13
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.17
  [26aad666] + SSMProblems v0.6.1
  [0bca4576] + SciMLBase v2.148.0
  [a6db7da4] + SciMLLogging v1.9.1
  [c0aeaf25] + SciMLOperators v1.15.1
  [431bcebd] + SciMLPublic v1.0.1
  [53ae85a6] + SciMLStructures v1.10.0
  [30f210dd] + ScientificTypesBase v3.1.0
  [efcf1570] + Setfield v1.1.2
  [9f842d2f] + SparseConnectivityTracer v1.2.1
  [dc90abb0] + SparseInverseSubset v0.1.2
  [0a514795] + SparseMatrixColorings v0.4.24
  [171d559e] + SplittablesBase v0.1.15
  [860ef19b] + StableRNGs v1.0.4
  [90137ffa] + StaticArrays v1.9.17
  [1e83bf80] + StaticArraysCore v1.4.4
  [64bff920] + StatisticalTraits v3.5.0
  [892a3eda] + StringManipulation v0.4.4
  [09ab397b] + StructArrays v0.7.2
  [ec057cc2] + StructUtils v2.6.3
  [2efcf032] + SymbolicIndexingInterface v0.3.46
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
  [28d57a85] + Transducers v0.4.85
⌃ [fce5fe82] + Turing v0.42.9
  [c3b1956e] + TypeUtils v1.14.0
  [efce3f68] + WoodburyMatrices v1.1.0
  [eead6e0c] + PRIMA_jll v0.7.1+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
  [b27032c2] + LibCURL v1.0.0
  [76f85450] + LibGit2 v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.14.0
  [3fa0cd96] + REPL v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [a4e569a6] + Tar v1.10.0
  [deac9b47] + LibCURL_jll v8.18.0+0
  [e37daf67] + LibGit2_jll v1.9.2+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.12.2
  [458c3c95] + OpenSSL_jll v3.5.5+0
  [efcefdf7] + PCRE2_jll v10.47.0+0
  [83775a58] + Zlib_jll v1.3.2+0
  [3161d3a3] + Zstd_jll v1.5.7+1
  [8e850ede] + nghttp2_jll v1.68.0+1
  [3f19e933] + p7zip_jll v17.7.0+0
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
        Test Successfully re-resolved
      Status `/tmp/jl_obc0Gb/Project.toml`
  [4c88cf16] Aqua v0.8.14
  [15052f3f] BOSS v0.6.0
  [31c24e10] Distributions v0.25.123
  [ec8451be] KernelFunctions v0.10.67
  [72f8369c] OptimizationPRIMA v0.3.5
⌃ [fce5fe82] Turing v0.42.9
  [37e2e46d] LinearAlgebra v1.13.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_obc0Gb/Manifest.toml`
  [47edcb42] ADTypes v1.21.0
  [621f4979] AbstractFFTs v1.5.0
  [99985d1d] AbstractGPs v0.5.24
  [80f14c24] AbstractMCMC v5.14.0
⌅ [7a57a42e] AbstractPPL v0.13.6
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.43
  [79e6a3ab] Adapt v4.5.0
  [0bf59076] AdvancedHMC v0.8.3
  [5b7e9947] AdvancedMH v0.8.10
  [576499cb] AdvancedPS v0.7.2
  [b5ca4192] AdvancedVI v0.6.2
  [66dad0bd] AliasTables v1.1.3
  [4c88cf16] Aqua v0.8.14
  [dce04be8] ArgCheck v2.5.0
  [4fba245c] ArrayInterface v7.23.0
  [13072b0f] AxisAlgorithms v1.1.0
  [39de3d68] AxisArrays v0.4.8
  [15052f3f] BOSS v0.6.0
  [198e06fe] BangBang v0.4.8
  [9718e550] Baselet v0.1.1
⌃ [76274a88] Bijectors v0.15.16
  [082447d4] ChainRules v1.73.0
  [d360d2e6] ChainRulesCore v1.26.0
  [0ca39b1e] Chairmarks v1.3.1
  [9e997f8a] ChangesOfVariables v0.1.10
  [861a8166] Combinatorics v1.1.0
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.18.1
  [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 v0.19.3
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [8bb1440f] DelimitedFiles v1.9.1
  [b429d917] DensityInterface v0.4.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.16
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.123
  [ced4e74d] DistributionsAD v0.6.58
  [ffbed154] DocStringExtensions v0.9.5
⌅ [366bfd00] DynamicPPL v0.39.15
  [cad2338a] EllipticalSliceSampling v2.0.0
  [4e289a0a] EnumX v1.0.7
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [b86e33f2] FFTA v0.3.1
  [9aa1b823] FastClosures v0.3.2
  [1a297f60] FillArrays v1.16.0
  [6a86dc24] FiniteDiff v2.29.0
  [f6369f11] ForwardDiff v1.3.2
  [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
  [18e54dd8] IntegerMathUtils v0.1.3
  [a98d9a8b] Interpolations v0.16.2
  [8197267c] IntervalSets v0.7.13
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.6
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
  [682c06a0] JSON v1.4.0
  [ae98c720] Jieko v0.2.1
  [5ab0869b] KernelDensity v0.6.11
  [ec8451be] KernelFunctions v0.10.67
  [b964fa9f] LaTeXStrings v1.4.0
  [a5e1c1ea] LatinHypercubeSampling v1.9.0
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.1
  [6f1fad26] Libtask v0.9.14
  [d3d80556] LineSearches v7.6.0
  [6fdf6af0] LogDensityProblems v2.2.0
  [996a588d] LogDensityProblemsAD v1.13.1
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
  [c7f686f2] MCMCChains v7.7.0
  [be115224] MCMCDiagnosticTools v0.3.16
  [e80e1ace] MLJModelInterface v1.12.1
  [1914dd2f] MacroTools v0.5.16
  [dbb5928d] MappedArrays v0.4.3
  [128add7d] MicroCollections v0.2.0
  [e1d29d7a] Missings v1.2.0
  [dbe65cb8] MistyClosures v2.1.0
  [2e0e35c7] Moshi v0.3.7
  [46d2c3a1] MuladdMacro v0.2.4
  [d41bc354] NLSolversBase v8.0.0
  [77ba4419] NaNMath v1.1.3
  [86f7a689] NamedArrays v0.10.5
  [c020b1a1] NaturalSort v1.0.0
  [6fe1bfb0] OffsetArrays v1.17.0
  [429524aa] Optim v2.0.1
  [3bd65402] Optimisers v0.4.7
  [7f7a1694] Optimization v5.5.0
  [bca83a33] OptimizationBase v5.0.0
  [36348300] OptimizationOptimJL v0.4.10
  [72f8369c] OptimizationPRIMA v0.3.5
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.37
  [0a7d04aa] PRIMA v0.2.4
  [69de0a69] Parsers v2.8.3
  [85a6dd25] PositiveFactorizations v0.2.4
  [d236fae5] PreallocationTools v1.1.2
  [aea7be01] PrecompileTools v1.3.3
  [21216c6a] Preferences v1.5.2
  [08abe8d2] PrettyTables v3.2.3
  [27ebfcd6] Primes v0.5.7
  [33c8b6b6] ProgressLogging v0.1.6
  [92933f4c] ProgressMeter v1.11.0
  [43287f4e] PtrArrays v1.4.0
  [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 v3.48.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.9.0
  [f2b01f46] Roots v2.2.13
  [7e49a35a] RuntimeGeneratedFunctions v0.5.17
  [26aad666] SSMProblems v0.6.1
  [0bca4576] SciMLBase v2.148.0
  [a6db7da4] SciMLLogging v1.9.1
  [c0aeaf25] SciMLOperators v1.15.1
  [431bcebd] SciMLPublic v1.0.1
  [53ae85a6] SciMLStructures v1.10.0
  [30f210dd] ScientificTypesBase v3.1.0
  [efcf1570] Setfield v1.1.2
  [a2af1166] SortingAlgorithms v1.2.2
  [9f842d2f] SparseConnectivityTracer v1.2.1
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.24
  [276daf66] SpecialFunctions v2.7.1
  [171d559e] SplittablesBase v0.1.15
  [860ef19b] StableRNGs v1.0.4
  [90137ffa] StaticArrays v1.9.17
  [1e83bf80] StaticArraysCore v1.4.4
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
  [2913bbd2] StatsBase v0.34.10
  [4c63d2b9] StatsFuns v1.5.2
  [892a3eda] StringManipulation v0.4.4
  [09ab397b] StructArrays v0.7.2
  [ec057cc2] StructUtils v2.6.3
  [2efcf032] SymbolicIndexingInterface v0.3.46
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [62fd8b95] TensorCore v0.1.1
  [5d786b92] TerminalLoggers v0.1.7
  [28d57a85] Transducers v0.4.85
⌃ [fce5fe82] Turing v0.42.9
  [c3b1956e] TypeUtils v1.14.0
  [efce3f68] WoodburyMatrices v1.1.0
  [700de1a5] ZygoteRules v0.2.7
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [eead6e0c] PRIMA_jll v0.7.1+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
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [b27032c2] LibCURL v1.0.0
  [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 v1.14.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v1.0.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [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 v8.18.0+0
  [e37daf67] LibGit2_jll v1.9.2+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.12.2
  [4536629a] OpenBLAS_jll v0.3.30+0
  [05823500] OpenLibm_jll v0.8.7+0
  [458c3c95] OpenSSL_jll v3.5.5+0
  [efcefdf7] PCRE2_jll v10.47.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.2+0
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.15.0+0
  [8e850ede] nghttp2_jll v1.68.0+1
  [3f19e933] p7zip_jll v17.7.0+0
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...
[ Info: Running Unit Tests ...
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/acquisitions/expected_improvement.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/models/gaussian_process.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/models/parametric.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/models/semiparametric.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/models/utils/kernels.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/posterior.jl

average_mean(posteriors): Error During Test at /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/posterior.jl:2
  Got exception outside of a @test
  MethodError: no method matching Compiler.IRInterpretationState(::Compiler.NativeInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64, ::UInt64)
  The type `Compiler.IRInterpretationState` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:860
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:893
  Stacktrace:
     [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:115
     [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:52
     [3] optimise_ir!(ir::Compiler.IRCode)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:40
     [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_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:173
     [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:395
     [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:385
     [7] AdvancedPS.LibtaskModel(f::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:44
     [8] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107
     [9] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}, resample::Bool)
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:450
    [10] (::Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}})(::Int64)
       @ Turing.Inference ./none:-1
    [11] iterate
       @ ./generator.jl:48 [inlined]
    [12] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}}})
       @ Base ./array.jl:828
    [13] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; discard_sample::Bool, kwargs::@Kwargs{initial_params::InitFromPrior, num_warmup::Int64})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:275
    [14] kwcall(::@NamedTuple{initial_params::InitFromPrior, num_warmup::Int64, discard_sample::Bool}, ::typeof(Turing.Inference.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:262
    [15] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}; initial_params::InitFromPrior, kwargs::@Kwargs{num_warmup::Int64, discard_sample::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:182
    [16] step
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:164 [inlined]
    [17] step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined]
    [18] #_step_or_step_warmup#25
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined]
    [19] _step_or_step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined]
    [20] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined]
    [21] (::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134
    [22] with_logstate(f::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64}, logstate::Base.CoreLogging.LogState)
       @ Base.CoreLogging ./logging/logging.jl:542
    [23] 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:653
    [24] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157
    [25] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined]
    [26] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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{initial_params::InitFromPrior})
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204
    [27] kwcall(::@NamedTuple{initial_params::InitFromPrior, chain_type::UnionAll, 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_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, sampler::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164
    [28] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64; initial_params::InitFromPrior, check_model::Bool, chain_type::Type, kwargs::@Kwargs{progress::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:87
    [29] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:76 [inlined]
    [30] #sample#1
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:73 [inlined]
    [31] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:70 [inlined]
    [32] #sample_chains##0
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93 [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_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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_#10"{GaussianProcessParams{Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##3"{GaussianProcess{Nothing}, SimpleData{Matrix{Float64}, Matrix{Float64}}, Int64}, Float64}, BOSS.var"#devectorize#vectorizer##3"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false})
       @ TuringExt ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93
    [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/PC1b7/ext/TuringExt.jl:48
    [38] _estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:38 [inlined]
    [39] #17
       @ ./broadcast.jl:1336 [inlined]
    [40] _broadcast_getindex_evalf
       @ ./broadcast.jl:702 [inlined]
    [41] _broadcast_getindex
       @ ./broadcast.jl:675 [inlined]
    [42] _getindex
       @ ./broadcast.jl:619 [inlined]
    [43] getindex
       @ ./broadcast.jl:615 [inlined]
    [44] copy
       @ ./broadcast.jl:936 [inlined]
    [45] materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, Base.Broadcast.var"#17#18"{@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:897
    [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/PC1b7/ext/TuringExt.jl:29
    [47] estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/src/bo.jl:82
    [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/PC1b7/src/bo.jl:80
    [50] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/test/unit/test/posterior.jl:3
    [51] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [52] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/unit/test/posterior.jl:25 [inlined]
    [53] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:324
    [54] IncludeInto
       @ ./Base.jl:325 [inlined]
    [55] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/unit/runtests.jl:9 [inlined]
    [56] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [57] include_unit_tests(dir::String)
       @ Main ~/.julia/packages/BOSS/PC1b7/test/unit/runtests.jl:9
    [58] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/test/unit/runtests.jl:20
    [59] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [60] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/unit/runtests.jl:21 [inlined]
    [61] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:324
    [62] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/test/runtests.jl:18
    [63] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [64] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/runtests.jl:22 [inlined]
    [65] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:324
    [66] top-level scope
       @ none:6
    [67] eval(m::Module, e::Any)
       @ Core ./boot.jl:517
    [68] exec_options(opts::Base.JLOptions)
       @ Base ./client.jl:310
    [69] _start()
       @ Base ./client.jl:585
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/term_conds/iter_limit.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/types/domain.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/utils/distributions.jl
[ Info:   Testing /home/pkgeval/.julia/packages/BOSS/PC1b7/test/unit/test/utils/utils.jl
[ Info: Running Combinatorial Tests ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [8.06328735776761] : [-2.027483354996204, -2.60927536911599]
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [12.748617877611835] : [3.603590955168014, -0.8613443283958301]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...

Test 2: Error During Test at /home/pkgeval/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:21
  Test threw exception
  Expression: script() isa AbstractVector{<:Real}
  MethodError: no method matching Compiler.IRInterpretationState(::Compiler.NativeInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64, ::UInt64)
  The type `Compiler.IRInterpretationState` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:860
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:893
  Stacktrace:
     [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:115
     [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:52
     [3] optimise_ir!(ir::Compiler.IRCode)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:40
     [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:173
     [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:395
     [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:385
     [7] AdvancedPS.LibtaskModel(f::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:44
     [8] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107
     [9] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}, resample::Bool)
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:450
    [10] (::Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}})(::Int64)
       @ Turing.Inference ./none:-1
    [11] iterate
       @ ./generator.jl:48 [inlined]
    [12] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}}})
       @ Base ./array.jl:828
    [13] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; discard_sample::Bool, kwargs::@Kwargs{initial_params::InitFromPrior, num_warmup::Int64})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:275
    [14] kwcall(::@NamedTuple{initial_params::InitFromPrior, num_warmup::Int64, discard_sample::Bool}, ::typeof(Turing.Inference.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:262
    [15] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}; initial_params::InitFromPrior, kwargs::@Kwargs{num_warmup::Int64, discard_sample::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:182
    [16] step
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:164 [inlined]
    [17] step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined]
    [18] #_step_or_step_warmup#25
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined]
    [19] _step_or_step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined]
    [20] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined]
    [21] (::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134
    [22] with_logstate(f::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64}, logstate::Base.CoreLogging.LogState)
       @ Base.CoreLogging ./logging/logging.jl:542
    [23] 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:653
    [24] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157
    [25] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined]
    [26] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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{initial_params::InitFromPrior})
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204
    [27] kwcall(::@NamedTuple{initial_params::InitFromPrior, chain_type::UnionAll, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, sampler::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164
    [28] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64; initial_params::InitFromPrior, check_model::Bool, chain_type::Type, kwargs::@Kwargs{progress::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:87
    [29] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:76 [inlined]
    [30] #sample#1
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:73 [inlined]
    [31] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:70 [inlined]
    [32] #sample_chains##0
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93 [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false})
       @ TuringExt ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93
    [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/PC1b7/ext/TuringExt.jl:48
    [38] _estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/ext/TuringExt.jl:34
    [40] estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/src/bo.jl:82
    [42] estimate_parameters!
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:80 [inlined]
    [43] #bo!#45
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:56 [inlined]
    [44] bo!
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/test/combinatorial/dummy_problem.jl:16
    [46] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined]
    [47] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:21 [inlined]
    [48] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [49] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:18 [inlined]
    [50] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [51] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:11
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [14.0] : [-3.990811722419497, -0.39289016357583306]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [18.849999999999998] : [6.400269677706171, 1.7691144180714136]
[ 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: [0.0] : [0.9982058187749073, -3.5327115385894823]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...

Test 8: Error During Test at /home/pkgeval/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:23
  Test threw exception
  Expression: script() isa BossProblem
  MethodError: no method matching Compiler.IRInterpretationState(::Compiler.NativeInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64, ::UInt64)
  The type `Compiler.IRInterpretationState` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:860
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:893
  Stacktrace:
     [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:115
     [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:52
     [3] optimise_ir!(ir::Compiler.IRCode)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:40
     [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:173
     [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:395
     [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:385
     [7] AdvancedPS.LibtaskModel(f::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, @NamedTuple{}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:44
     [8] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, @NamedTuple{}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107
     [9] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}, resample::Bool)
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:450
    [10] (::Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}})(::Int64)
       @ Turing.Inference ./none:-1
    [11] iterate
       @ ./generator.jl:48 [inlined]
    [12] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}}})
       @ Base ./array.jl:828
    [13] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; discard_sample::Bool, kwargs::@Kwargs{initial_params::InitFromPrior, num_warmup::Int64})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:275
    [14] kwcall(::@NamedTuple{initial_params::InitFromPrior, num_warmup::Int64, discard_sample::Bool}, ::typeof(Turing.Inference.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:262
    [15] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}; initial_params::InitFromPrior, kwargs::@Kwargs{num_warmup::Int64, discard_sample::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:182
    [16] step
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:164 [inlined]
    [17] step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined]
    [18] #_step_or_step_warmup#25
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined]
    [19] _step_or_step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined]
    [20] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined]
    [21] (::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134
    [22] with_logstate(f::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64}, logstate::Base.CoreLogging.LogState)
       @ Base.CoreLogging ./logging/logging.jl:542
    [23] 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:653
    [24] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157
    [25] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined]
    [26] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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{initial_params::InitFromPrior})
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204
    [27] kwcall(::@NamedTuple{initial_params::InitFromPrior, chain_type::UnionAll, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, sampler::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164
    [28] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64; initial_params::InitFromPrior, check_model::Bool, chain_type::Type, kwargs::@Kwargs{progress::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:87
    [29] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:76 [inlined]
    [30] #sample#1
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:73 [inlined]
    [31] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:70 [inlined]
    [32] #sample_chains##0
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93 [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Union{}}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false})
       @ TuringExt ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93
    [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/PC1b7/ext/TuringExt.jl:48
    [38] _estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/ext/TuringExt.jl:34
    [40] estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/src/bo.jl:82
    [42] estimate_parameters!
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:80 [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/PC1b7/src/bo.jl:37
    [44] bo!
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/test/combinatorial/dummy_problem.jl:22
    [46] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined]
    [47] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:23 [inlined]
    [48] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [49] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:18 [inlined]
    [50] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [51] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/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: [13.0] : [2.431094840633158, -0.8660774880276098]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...

Test 11: Error During Test at /home/pkgeval/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:21
  Test threw exception
  Expression: script() isa AbstractVector{<:Real}
  MethodError: no method matching Compiler.IRInterpretationState(::Compiler.NativeInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64, ::UInt64)
  The type `Compiler.IRInterpretationState` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:860
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:893
  Stacktrace:
     [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:115
     [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:52
     [3] optimise_ir!(ir::Compiler.IRCode)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:40
     [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_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:173
     [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:395
     [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:385
     [7] AdvancedPS.LibtaskModel(f::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:44
     [8] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107
     [9] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}, resample::Bool)
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:450
    [10] (::Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}})(::Int64)
       @ Turing.Inference ./none:-1
    [11] iterate
       @ ./generator.jl:48 [inlined]
    [12] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}}})
       @ Base ./array.jl:828
    [13] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; discard_sample::Bool, kwargs::@Kwargs{initial_params::InitFromPrior, num_warmup::Int64})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:275
    [14] kwcall(::@NamedTuple{initial_params::InitFromPrior, num_warmup::Int64, discard_sample::Bool}, ::typeof(Turing.Inference.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:262
    [15] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}; initial_params::InitFromPrior, kwargs::@Kwargs{num_warmup::Int64, discard_sample::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:182
    [16] step
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:164 [inlined]
    [17] step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined]
    [18] #_step_or_step_warmup#25
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined]
    [19] _step_or_step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined]
    [20] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined]
    [21] (::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134
    [22] with_logstate(f::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64}, logstate::Base.CoreLogging.LogState)
       @ Base.CoreLogging ./logging/logging.jl:542
    [23] 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:653
    [24] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157
    [25] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined]
    [26] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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{initial_params::InitFromPrior})
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204
    [27] kwcall(::@NamedTuple{initial_params::InitFromPrior, chain_type::UnionAll, 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_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, sampler::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164
    [28] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64; initial_params::InitFromPrior, check_model::Bool, chain_type::Type, kwargs::@Kwargs{progress::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:87
    [29] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:76 [inlined]
    [30] #sample#1
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:73 [inlined]
    [31] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:70 [inlined]
    [32] #sample_chains##0
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93 [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_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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_#10"{ParametricParams{Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##0"{NonlinearModel{Vector{LogNormal{Float64}}}, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##1"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false})
       @ TuringExt ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93
    [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/PC1b7/ext/TuringExt.jl:48
    [38] _estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/ext/TuringExt.jl:34
    [40] estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/src/bo.jl:82
    [42] estimate_parameters!
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:80 [inlined]
    [43] #bo!#45
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:56 [inlined]
    [44] bo!
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/test/combinatorial/dummy_problem.jl:16
    [46] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined]
    [47] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:21 [inlined]
    [48] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [49] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:18 [inlined]
    [50] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [51] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/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: [14.0] : [-3.9448721769848043, -0.3859914505453532]
[ 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/PC1b7/test/combinatorial/runtests.jl:23
  Test threw exception
  Expression: script() isa BossProblem
  MethodError: no method matching Compiler.IRInterpretationState(::Compiler.NativeInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64, ::UInt64)
  The type `Compiler.IRInterpretationState` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, ::Compiler.SpecInfo, ::Compiler.IRCode, ::Core.MethodInstance, ::Vector{Any}, ::UInt64, ::UInt64)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:860
    Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any)
     @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:893
  Stacktrace:
     [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:115
     [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:52
     [3] optimise_ir!(ir::Compiler.IRCode)
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/utils.jl:40
     [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:173
     [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:395
     [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any})
       @ Libtask ~/.julia/packages/Libtask/NP9j5/src/copyable_task.jl:385
     [7] AdvancedPS.LibtaskModel(f::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:44
     [8] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, Tuple{typeof(TuringExt.turing_model), DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, Turing.Inference.ParticleMCMCContext{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, @NamedTuple{}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}})
       @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107
     [9] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}, rng::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}, resample::Bool)
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:450
    [10] (::Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}})(::Int64)
       @ Turing.Inference ./none:-1
    [11] iterate
       @ ./generator.jl:48 [inlined]
    [12] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#62#63"{DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::Turing.Inference.ProduceLogLikelihoodAccumulator{Float64}}}}}})
       @ Base ./array.jl:828
    [13] initialstep(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; discard_sample::Bool, kwargs::@Kwargs{initial_params::InitFromPrior, num_warmup::Int64})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:275
    [14] kwcall(::@NamedTuple{initial_params::InitFromPrior, num_warmup::Int64, discard_sample::Bool}, ::typeof(Turing.Inference.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::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}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/particle_mcmc.jl:262
    [15] step(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}; initial_params::InitFromPrior, kwargs::@Kwargs{num_warmup::Int64, discard_sample::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:182
    [16] step
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:164 [inlined]
    [17] step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined]
    [18] #_step_or_step_warmup#25
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined]
    [19] _step_or_step_warmup
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined]
    [20] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined]
    [21] (::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64})()
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134
    [22] with_logstate(f::AbstractMCMC.var"#29#30"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{initial_params::InitFromPrior}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, Int64, Float64, Int64}, logstate::Base.CoreLogging.LogState)
       @ Base.CoreLogging ./logging/logging.jl:542
    [23] 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:653
    [24] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157
    [25] macro expansion
       @ ~/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined]
    [26] mcmcsample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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{initial_params::InitFromPrior})
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204
    [27] kwcall(::@NamedTuple{initial_params::InitFromPrior, chain_type::UnionAll, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, sampler::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64)
       @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164
    [28] sample(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, spl::PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}, N::Int64; initial_params::InitFromPrior, check_model::Bool, chain_type::Type, kwargs::@Kwargs{progress::Bool})
       @ Turing.Inference ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:87
    [29] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:76 [inlined]
    [30] #sample#1
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:73 [inlined]
    [31] sample
       @ ~/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:70 [inlined]
    [32] #sample_chains##0
       @ ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93 [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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false}, 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_#10"{SemiparametricParams{Vector{Float64}, Matrix{Float64}, Vector{Float64}, Vector{Float64}}, BOSS.SafeFunction{BOSS.var"#ll_data#data_loglike##4"{Semiparametric, SimpleData{Matrix{Float64}, Matrix{Float64}}}, Float64}, BOSS.var"#devectorize#vectorizer##5"{Vector{Float64}, BitVector}}}, Tuple{}, DynamicPPL.DefaultContext, false})
       @ TuringExt ~/.julia/packages/BOSS/PC1b7/ext/TuringExt.jl:93
    [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/PC1b7/ext/TuringExt.jl:48
    [38] _estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/ext/TuringExt.jl:34
    [40] estimate_parameters
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/src/bo.jl:82
    [42] estimate_parameters!
       @ ~/.julia/packages/BOSS/PC1b7/src/bo.jl:80 [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/PC1b7/src/bo.jl:37
    [44] bo!
       @ ~/.julia/packages/BOSS/PC1b7/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/PC1b7/test/combinatorial/dummy_problem.jl:22
    [46] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined]
    [47] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:23 [inlined]
    [48] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [49] macro expansion
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:18 [inlined]
    [50] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined]
    [51] top-level scope
       @ ~/.julia/packages/BOSS/PC1b7/test/combinatorial/runtests.jl:11
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [17.577666239291965] : [-4.824040876578937, 1.4240791943181195]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [2.22] : [-0.20205579506990584, -3.344369942387117]
[ Info: Estimating model parameters ...
[ Info: Estimating model parameters ...
[ Info: Maximizing acquisition function ...
[ Info: Evaluating objective function ...
[ Info: New data point: [8.06328735776761] : [-2.027483354996204, -2.60927536911599]
[ Info: Estimating model parameters ...
Test Summary:                  | Pass  Error  Total      Time
BOSS TESTS                     |  283      5    288  11m37.3s
  Code quality (Aqua.jl)       |   11            11   3m13.2s
  Unit Tests                   |  258      1    259   5m37.0s
    acquisitions               |   47            47     53.9s
    models                     |   87            87   2m37.7s
    posterior.jl               |           1      1   1m24.9s
      average_mean(posteriors) |           1      1   1m24.9s
    term_conds                 |    2             2      1.5s
    types                      |   76            76     16.4s
    utils                      |   46            46     20.8s
  Combinatorial Tests          |   14      4     18   2m23.1s
    Test 1                     |    1             1      9.3s
    Test 2                     |           1      1     15.8s
    Test 3                     |    1             1      7.4s
    Test 4                     |    1             1     36.0s
    Test 5                     |    1             1      7.7s
    Test 6                     |    1             1      7.1s
    Test 7                     |    1             1     14.8s
    Test 8                     |           1      1     11.3s
    Test 9                     |    1             1      4.8s
    Test 10                    |    1             1      3.1s
    Test 11                    |           1      1      5.9s
    Test 12                    |    1             1      6.2s
    Test 13                    |    1             1      4.9s
    Test 14                    |    1             1      3.1s
    Test 15                    |           1      1      1.0s
    Test 16                    |    1             1      1.5s
    Test 17                    |    1             1      2.9s
    Test 18                    |    1             1      0.0s
RNG of the outermost testset: Random.Xoshiro(0x79af3e4afc491438, 0xeef4dd19d96798a8, 0x1316255f222321bd, 0x08ecb5b734a74f87, 0xe4758876a3c2b392)
ERROR: LoadError: Some tests did not pass: 283 passed, 0 failed, 5 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/BOSS/PC1b7/test/runtests.jl:17

Testing failed after 731.29s

ERROR: LoadError: Package BOSS errored during testing
Stacktrace:
  [1] pkgerror(msg::String)
    @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68
  [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool)
    @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3138
  [3] test
    @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [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/v1.14/Pkg/src/API.jl:586
  [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/v1.14/Pkg/src/API.jl:562
  [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172
  [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161
  [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160
  [9] test
    @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined]
 [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String)
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159
 [11] top-level scope
    @ /PkgEval.jl/scripts/evaluate.jl:223
 [12] include(mod::Module, _path::String)
    @ Base ./Base.jl:323
 [13] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:344
 [14] _start()
    @ Base ./client.jl:585
in expression starting at /PkgEval.jl/scripts/evaluate.jl:214

PkgEval failed after 1755.77s: package tests unexpectedly errored