Package evaluation to test BOSS on Julia 1.14.0-DEV.1601 (79ea5eb99c*) started at 2026-01-24T18:46:32.253 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.65s ################################################################################ # Installation # Installing BOSS... Resolving package versions... Installed Rmath_jll ─────────────────── v0.5.1+0 Installed CompositionsBase ──────────── v0.1.2 Installed CommonSolve ───────────────── v0.2.6 Installed MacroTools ────────────────── v0.5.16 Installed AbstractTrees ─────────────── v0.4.5 Installed DataStructures ────────────── v0.19.3 Installed FillArrays ────────────────── v1.16.0 Installed SparseMatrixColorings ─────── v0.4.23 Installed Adapt ─────────────────────── v4.4.0 Installed RuntimeGeneratedFunctions ─── v0.5.16 Installed AliasTables ───────────────── v1.1.3 Installed ConstructionBase ──────────── v1.6.0 Installed HypergeometricFunctions ───── v0.3.28 Installed StatsBase ─────────────────── v0.34.10 Installed ExprTools ─────────────────── v0.1.10 Installed Compat ────────────────────── v4.18.1 Installed OrderedCollections ────────── v1.8.1 Installed SymbolicIndexingInterface ─── v0.3.46 Installed Functors ──────────────────── v0.5.2 Installed ArrayInterface ────────────── v7.22.0 Installed RecipesBase ───────────────── v1.3.4 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed ProgressLogging ───────────── v0.1.6 Installed FunctionWrappersWrappers ──── v0.1.3 Installed PreallocationTools ────────── v1.0.0 Installed SciMLOperators ────────────── v1.14.1 Installed BOSS ──────────────────────── v0.5.3 Installed Optimization ──────────────── v5.4.0 Installed DataAPI ───────────────────── v1.16.0 Installed TensorCore ────────────────── v0.1.1 Installed Statistics ────────────────── v1.11.1 Installed StatsAPI ──────────────────── v1.8.0 Installed ConsoleProgressMonitor ────── v0.1.2 Installed PrecompileTools ───────────── v1.3.3 Installed ExproniconLite ────────────── v0.10.14 Installed ProgressMeter ─────────────── v1.11.0 Installed ArgCheck ──────────────────── v2.5.0 Installed SciMLStructures ───────────── v1.10.0 Installed LoggingExtras ─────────────── v1.2.0 Installed AbstractGPs ───────────────── v0.5.24 Installed ChainRulesCore ────────────── v1.26.0 Installed IrrationalConstants ───────── v0.2.6 Installed StaticArraysCore ──────────── v1.4.4 Installed Distances ─────────────────── v0.10.12 Installed GPUArraysCore ─────────────── v0.2.0 Installed SparseConnectivityTracer ──── v1.1.3 Installed QuadGK ────────────────────── v2.11.2 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed SciMLPublic ───────────────── v1.0.1 Installed Requires ──────────────────── v1.3.1 Installed FunctionWrappers ──────────── v1.1.3 Installed StableRNGs ────────────────── v1.0.4 Installed LogExpFunctions ───────────── v0.3.29 Installed TerminalLoggers ───────────── v0.1.7 Installed Rmath ─────────────────────── v0.9.0 Installed LeftChildRightSiblingTrees ── v0.2.1 Installed FastClosures ──────────────── v0.3.2 Installed Roots ─────────────────────── v2.2.10 Installed SciMLBase ─────────────────── v2.134.0 Installed StatsFuns ─────────────────── v1.5.2 Installed Distributions ─────────────── v0.25.123 Installed KernelFunctions ───────────── v0.10.67 Installed SciMLLogging ──────────────── v1.8.0 Installed PtrArrays ─────────────────── v1.3.0 Installed EnumX ─────────────────────── v1.0.6 Installed Jieko ─────────────────────── v0.2.1 Installed Reexport ──────────────────── v1.2.2 Installed SpecialFunctions ──────────── v2.6.1 Installed InverseFunctions ──────────── v0.1.17 Installed Preferences ───────────────── v1.5.1 Installed Missings ──────────────────── v1.2.0 Installed ZygoteRules ───────────────── v0.2.7 Installed JLLWrappers ───────────────── v1.7.1 Installed MappedArrays ──────────────── v0.4.3 Installed SortingAlgorithms ─────────── v1.2.2 Installed Moshi ─────────────────────── v0.3.7 Installed OptimizationBase ──────────── v4.2.0 Installed PDMats ────────────────────── v0.11.37 Installed ChangesOfVariables ────────── v0.1.10 Installed ADTypes ───────────────────── v1.21.0 Installed RecursiveArrayTools ───────── v3.45.1 Installed Bijectors ─────────────────── v0.15.15 Installed Accessors ─────────────────── v0.1.43 Installed DocStringExtensions ───────── v0.9.5 Installed DifferentiationInterface ──── v0.7.14 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 v0.5.3 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [99985d1d] + AbstractGPs v0.5.24 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [15052f3f] + BOSS v0.5.3 [76274a88] + Bijectors v0.15.15 [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 [a0c0ee7d] + DifferentiationInterface v0.7.14 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.6 [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 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [ae98c720] + Jieko v0.2.1 [ec8451be] + KernelFunctions v0.10.67 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [7f7a1694] + Optimization v5.4.0 [bca83a33] + OptimizationBase v4.2.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [d236fae5] + PreallocationTools v1.0.0 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.45.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [0bca4576] + SciMLBase v2.134.0 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.14.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.1.3 [0a514795] + SparseMatrixColorings v0.4.23 [276daf66] + SpecialFunctions v2.6.1 [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 [2efcf032] + SymbolicIndexingInterface v0.3.46 [62fd8b95] + TensorCore v0.1.1 [5d786b92] + TerminalLoggers v0.1.7 [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 [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 v0.3.29+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 10.69s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4699.1 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling packages... 4686.4 ms ✓ MacroTools 847.7 ms ✓ Reexport 1060.1 ms ✓ MappedArrays 942.7 ms ✓ TensorCore 1175.1 ms ✓ ConstructionBase 2187.6 ms ✓ IrrationalConstants 915.4 ms ✓ ChangesOfVariables 929.6 ms ✓ DataValueInterfaces 863.0 ms ✓ MistyClosures 1035.3 ms ✓ StatsAPI 1227.6 ms ✓ IterTools 1095.2 ms ✓ IntervalSets 2025.5 ms ✓ Combinatorics 915.4 ms ✓ ArgCheck 809.2 ms ✓ CommonSolve 867.8 ms ✓ LaTeXStrings 2208.7 ms ✓ Baselet 1093.8 ms ✓ Statistics 1000.5 ms ✓ StaticArraysCore 932.7 ms ✓ StableRNGs 882.9 ms ✓ PtrArrays 783.0 ms ✓ NaturalSort 964.5 ms ✓ PositiveFactorizations 867.8 ms ✓ DataAPI 867.7 ms ✓ SciMLPublic 3449.8 ms ✓ ExproniconLite 828.7 ms ✓ RealDot 883.9 ms ✓ InvertedIndices 1594.9 ms ✓ RandomNumbers 964.8 ms ✓ InverseFunctions 842.6 ms ✓ CompositionsBase 1139.1 ms ✓ AbstractTrees 1551.9 ms ✓ InitialValues 894.4 ms ✓ MuladdMacro 1055.1 ms ✓ AbstractFFTs 896.9 ms ✓ EnumX 2160.2 ms ✓ FillArrays 944.8 ms ✓ ExprTools 821.6 ms ✓ IntegerMathUtils 897.6 ms ✓ ScientificTypesBase 919.1 ms ✓ RangeArrays 1294.9 ms ✓ OrderedCollections 1496.5 ms ✓ FunctionWrappers 1414.6 ms ✓ ADTypes 1097.4 ms ✓ ProgressLogging 1109.1 ms ✓ DocStringExtensions 837.1 ms ✓ FastClosures 844.8 ms ✓ DefineSingletons 1567.8 ms ✓ OffsetArrays 781.2 ms ✓ IteratorInterfaceExtensions 1805.6 ms ✓ Crayons 998.3 ms ✓ DelimitedFiles 2901.3 ms ✓ Chairmarks 1066.9 ms ✓ NaNMath 1174.9 ms ✓ Requires 1853.5 ms ✓ PDMats 1331.7 ms ✓ SparseInverseSubset 1458.0 ms ✓ WoodburyMatrices 1104.8 ms ✓ LoggingExtras 1480.6 ms ✓ StructUtils 1764.3 ms ✓ ProgressMeter 1170.5 ms ✓ Compat 1186.8 ms ✓ Preferences 1711.7 ms ✓ CommonSubexpressions 828.7 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 4183.7 ms ✓ ChangesOfVariables → ChangesOfVariablesTestExt 2579.5 ms ✓ Libtask 789.9 ms ✓ IntervalSets → IntervalSetsRandomExt 853.4 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1334.7 ms ✓ Statistics → SparseArraysExt 1614.8 ms ✓ Distances 812.2 ms ✓ IntervalSets → IntervalSetsStatisticsExt 945.1 ms ✓ DiffResults 982.8 ms ✓ AliasTables 994.9 ms ✓ Missings 3182.6 ms ✓ Jieko 1869.5 ms ✓ Random123 900.9 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1655.4 ms ✓ InverseFunctions → InverseFunctionsTestExt 880.7 ms ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 850.2 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 929.7 ms ✓ LeftChildRightSiblingTrees 4361.7 ms ✓ AbstractFFTs → AbstractFFTsTestExt 1550.0 ms ✓ FillArrays → FillArraysSparseArraysExt 1004.2 ms ✓ FillArrays → FillArraysStatisticsExt 938.0 ms ✓ RuntimeGeneratedFunctions 1252.8 ms ✓ Primes 917.0 ms ✓ StatisticalTraits 3635.6 ms ✓ DataStructures 846.9 ms ✓ FunctionWrappersWrappers 956.5 ms ✓ ADTypes → ADTypesConstructionBaseExt 1910.8 ms ✓ DifferentiationInterface 1462.2 ms ✓ LogExpFunctions 2131.1 ms ✓ LogDensityProblems 864.5 ms ✓ TableTraits 1019.3 ms ✓ Chairmarks → StatisticsChairmarksExt 942.5 ms ✓ Ratios 971.1 ms ✓ Adapt 2399.0 ms ✓ TypeUtils 1473.9 ms ✓ FillArrays → FillArraysPDMatsExt 1359.9 ms ✓ AxisAlgorithms 947.2 ms ✓ ConsoleProgressMonitor 889.2 ms ✓ Compat → CompatLinearAlgebraExt 930.4 ms ✓ PrecompileTools 1277.2 ms ✓ JLLWrappers 1420.6 ms ✓ SciMLLogging 2890.4 ms ✓ Setfield 1529.8 ms ✓ AxisArrays 2375.9 ms ✓ NamedArrays 1338.0 ms ✓ Distances → DistancesSparseArraysExt 16830.5 ms ✓ Moshi 1946.3 ms ✓ DensityInterface 5339.3 ms ✓ Accessors 2047.8 ms ✓ TerminalLoggers 9334.0 ms ✓ SparseConnectivityTracer 2589.2 ms ✓ FFTA 3248.7 ms ✓ MLJModelInterface 1108.4 ms ✓ SortingAlgorithms 2328.4 ms ✓ QuadGK 1472.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 869.4 ms ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 1036.8 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1169.1 ms ✓ LogDensityProblemsAD 1799.4 ms ✓ Tables 1462.6 ms ✓ ArrayInterface 1440.3 ms ✓ Adapt → AdaptSparseArraysExt 1239.5 ms ✓ GPUArraysCore 864.2 ms ✓ OffsetArrays → OffsetArraysAdaptExt 901.3 ms ✓ TypeUtils → TypeUtilsOffsetArraysExt 2562.7 ms ✓ ChainRulesCore 6004.5 ms ✓ Aqua 1337.4 ms ✓ Functors 3639.8 ms ✓ StringManipulation 13304.9 ms ✓ StaticArrays 2986.8 ms ✓ RecipesBase 16420.7 ms ✓ Parsers 11559.6 ms ✓ SparseMatrixColorings 1474.8 ms ✓ Rmath_jll 1394.5 ms ✓ OpenSpecFun_jll 1392.6 ms ✓ PRIMA_jll 3317.3 ms ✓ SplittablesBase 1907.6 ms ✓ Accessors → TestExt 2717.8 ms ✓ Accessors → IntervalSetsExt 2663.2 ms ✓ Accessors → LinearAlgebraExt 3399.3 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerNaNMathExt 2714.4 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerLogExpFunctionsExt 1662.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseConnectivityTracerExt 3797.1 ms ✓ StatsBase 865.6 ms ✓ LogDensityProblemsAD → LogDensityProblemsADADTypesExt 1400.5 ms ✓ StructArrays 910.0 ms ✓ StructUtils → StructUtilsTablesExt 698.7 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1107.4 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1179.7 ms ✓ SciMLStructures 2383.7 ms ✓ PreallocationTools 884.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 894.5 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1376.6 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 2453.3 ms ✓ ZygoteRules 962.5 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 880.8 ms ✓ ADTypes → ADTypesChainRulesCoreExt 1005.8 ms ✓ Distances → DistancesChainRulesCoreExt 996.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3564.2 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1879.6 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerChainRulesCoreExt 885.7 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 2744.9 ms ✓ Optimisers 36350.7 ms ✓ PrettyTables 1471.3 ms ✓ StaticArrays → StaticArraysStatisticsExt 1491.6 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1457.7 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1720.3 ms ✓ FillArrays → FillArraysStaticArraysExt 1503.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1460.1 ms ✓ Adapt → AdaptStaticArraysExt 1606.7 ms ✓ Accessors → StaticArraysExt 1318.7 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 6902.6 ms ✓ JSON 1781.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt 1525.1 ms ✓ Rmath 5091.2 ms ✓ SpecialFunctions 1543.7 ms ✓ PRIMA 1718.5 ms ✓ BangBang 6777.1 ms ✓ Roots 4522.8 ms ✓ SciMLOperators 2434.3 ms ✓ LatinHypercubeSampling 1459.8 ms ✓ PDMats → StatsBaseExt 1061.9 ms ✓ LogDensityProblemsAD → LogDensityProblemsADDifferentiationInterfaceExt 1523.2 ms ✓ StructArrays → StructArraysSparseArraysExt 1217.3 ms ✓ StructArrays → StructArraysLinearAlgebraExt 879.7 ms ✓ StructArrays → StructArraysAdaptExt 1598.4 ms ✓ StructArrays → StructArraysStaticArraysExt 1068.5 ms ✓ Accessors → StructArraysExt 1344.1 ms ✓ FiniteDiff 3576.3 ms ✓ SymbolicIndexingInterface 1971.4 ms ✓ PreallocationTools → PreallocationToolsSparseConnectivityTracerExt 1209.0 ms ✓ Optimisers → OptimisersAdaptExt 4199.7 ms ✓ Interpolations 4619.5 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2913.6 ms ✓ HypergeometricFunctions 1156.0 ms ✓ DiffRules 3755.4 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt 1237.2 ms ✓ BangBang → BangBangChainRulesCoreExt 1330.0 ms ✓ BangBang → BangBangTablesExt 1188.5 ms ✓ BangBang → BangBangStructArraysExt 1875.4 ms ✓ BangBang → BangBangStaticArraysExt 2767.1 ms ✓ MicroCollections 1175.0 ms ✓ Roots → RootsChainRulesCoreExt 1222.9 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1736.7 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 12180.1 ms ✓ ChainRules 1399.5 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1318.4 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1007.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3509.5 ms ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 7669.4 ms ✓ RecursiveArrayTools 10550.5 ms ✓ KernelFunctions 2538.3 ms ✓ StatsFuns 4882.1 ms ✓ ForwardDiff 6248.1 ms ✓ Transducers 1429.3 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1505.3 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1080.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 1088.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt 1104.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 2593.4 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 789.6 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 8090.6 ms ✓ Distributions 1721.9 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1769.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1184.6 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 2227.3 ms ✓ PreallocationTools → PreallocationToolsForwardDiffExt 1261.4 ms ✓ Roots → RootsForwardDiffExt 2751.8 ms ✓ Interpolations → InterpolationsForwardDiffExt 1509.3 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1844.0 ms ✓ Transducers → TransducersAdaptExt 4157.0 ms ✓ AbstractMCMC 29535.3 ms ✓ SciMLBase 3496.8 ms ✓ Distributions → DistributionsTestExt 2860.5 ms ✓ Distributions → DistributionsDensityInterfaceExt 2864.8 ms ✓ Distributions → DistributionsChainRulesCoreExt 4572.2 ms ✓ MCMCDiagnosticTools 1903.4 ms ✓ NLSolversBase 6903.5 ms ✓ AdvancedHMC 3947.5 ms ✓ AbstractPPL 3299.7 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 3648.3 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 3378.2 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 4343.3 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4816.4 ms ✓ SSMProblems 5101.6 ms ✓ AdvancedMH 3690.1 ms ✓ EllipticalSliceSampling 3616.6 ms ✓ KernelDensity 5254.9 ms ✓ AbstractGPs 8650.8 ms ✓ Bijectors 5788.4 ms ✓ AdvancedVI 8240.9 ms ✓ DistributionsAD 2350.9 ms ✓ LineSearches 3411.8 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 5375.4 ms ✓ AbstractPPL → AbstractPPLDistributionsExt 7141.3 ms ✓ OptimizationBase 4380.2 ms ✓ AdvancedPS 3595.2 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 3683.1 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 8986.2 ms ✓ MCMCChains 2909.5 ms ✓ Bijectors → BijectorsForwardDiffExt 3050.6 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 2933.4 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 3058.7 ms ✓ Bijectors → BijectorsDistributionsADExt 6159.6 ms ✓ Optim 19148.3 ms ✓ DynamicPPL 4875.7 ms ✓ OptimizationPRIMA 865.1 ms ✓ OptimizationBase → OptimizationFiniteDiffExt 1185.8 ms ✓ OptimizationBase → OptimizationForwardDiffExt 4922.9 ms ✓ Optimization 4215.1 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 6702.1 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 6496.0 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 4869.8 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 7912.1 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 4512.1 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 39963.9 ms ✓ OptimizationOptimJL 9571.5 ms ✓ BOSS 16035.6 ms ✓ Turing 17765.5 ms ✓ BOSS → TuringExt 284 dependencies successfully precompiled in 857 seconds. 40 already precompiled. Precompilation completed after 866.72s ################################################################################ # Testing # Testing BOSS Status `/tmp/jl_T1V1H7/Project.toml` [4c88cf16] Aqua v0.8.14 [15052f3f] BOSS v0.5.3 [31c24e10] Distributions v0.25.123 [ec8451be] KernelFunctions v0.10.67 [72f8369c] OptimizationPRIMA v0.3.4 [fce5fe82] Turing v0.42.4 [37e2e46d] LinearAlgebra v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_T1V1H7/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [99985d1d] AbstractGPs v0.5.24 [80f14c24] AbstractMCMC v5.11.0 ⌅ [7a57a42e] AbstractPPL v0.13.6 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [0bf59076] AdvancedHMC v0.8.3 [5b7e9947] AdvancedMH v0.8.9 [576499cb] AdvancedPS v0.7.2 [b5ca4192] AdvancedVI v0.6.1 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [15052f3f] BOSS v0.5.3 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [76274a88] Bijectors v0.15.15 [082447d4] ChainRules v1.72.6 [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 v0.7.14 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 [366bfd00] DynamicPPL v0.39.12 [cad2338a] EllipticalSliceSampling 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v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+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/2yWsr/test/unit/test/acquisitions/expected_improvement.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/models/gaussian_process.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/models/parametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/models/semiparametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/models/utils/kernels.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/posterior.jl average_mean(posteriors): Error During Test at /home/pkgeval/.julia/packages/BOSS/2yWsr/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:833 Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any) @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:866 Stacktrace: [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:115 [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:52 [3] optimise_ir!(ir::Compiler.IRCode) @ Libtask ~/.julia/packages/Libtask/AGx8L/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/AGx8L/src/copyable_task.jl:98 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:313 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:303 [7] #TapedTask#50 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:64 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:63 [inlined] [9] AdvancedPS.LibtaskModel(::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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:38 [10] 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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107 [11] 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/gwHwZ/src/mcmc/particle_mcmc.jl:453 [12] (::Turing.Inference.var"#59#60"{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 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#59#60"{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 [15] 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}}}}; kwargs::@Kwargs{initial_params::InitFromPrior}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:261 [16] kwcall(::@NamedTuple{initial_params::InitFromPrior}, ::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/gwHwZ/src/mcmc/particle_mcmc.jl:253 [17] 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{}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:182 [18] step @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:164 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{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, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{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, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:542 [22] 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 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:133 [inlined] [25] 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/XBmfQ/src/sample.jl:168 [26] 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/XBmfQ/src/sample.jl:123 [27] 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/gwHwZ/src/mcmc/abstractmcmc.jl:87 [28] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:76 [inlined] [29] #sample#1 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:73 [inlined] [30] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:70 [inlined] [31] #sample_chains##0 @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:93 [inlined] [32] _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 [33] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [34] mapreduce @ ./reducedim.jl:330 [inlined] [35] 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/2yWsr/ext/TuringExt.jl:93 [36] _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/2yWsr/ext/TuringExt.jl:48 [37] _estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:38 [inlined] [38] #17 @ ./broadcast.jl:1332 [inlined] [39] _broadcast_getindex_evalf @ ./broadcast.jl:698 [inlined] [40] _broadcast_getindex @ ./broadcast.jl:671 [inlined] [41] _getindex @ ./broadcast.jl:619 [inlined] [42] getindex @ ./broadcast.jl:615 [inlined] [43] copy @ ./broadcast.jl:932 [inlined] [44] 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:893 [45] 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/2yWsr/ext/TuringExt.jl:29 [46] estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:23 [inlined] [47] 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/2yWsr/src/bo.jl:82 [48] 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/2yWsr/src/bo.jl:80 [49] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/unit/test/posterior.jl:3 [50] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [51] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/unit/test/posterior.jl:25 [inlined] [52] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [53] IncludeInto @ ./Base.jl:311 [inlined] [54] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/unit/runtests.jl:9 [inlined] [55] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [56] include_unit_tests(dir::String) @ Main ~/.julia/packages/BOSS/2yWsr/test/unit/runtests.jl:9 [57] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/unit/runtests.jl:20 [58] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [59] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/unit/runtests.jl:21 [inlined] [60] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [61] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/runtests.jl:18 [62] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [63] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/runtests.jl:22 [inlined] [64] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [65] top-level scope @ none:6 [66] eval(m::Module, e::Any) @ Core ./boot.jl:489 [67] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [68] _start() @ Base ./client.jl:585 [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/term_conds/iter_limit.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/types/domain.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/test/unit/test/utils/distributions.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/2yWsr/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: [19.739911049088835] : [-1.6274124766011742, 2.4055848520457226] [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [15.18340845737737] : [2.204879079690829, 0.04889524487119275] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 2: Error During Test at /home/pkgeval/.julia/packages/BOSS/2yWsr/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:833 Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any) @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:866 Stacktrace: [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:115 [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:52 [3] optimise_ir!(ir::Compiler.IRCode) @ Libtask ~/.julia/packages/Libtask/AGx8L/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/AGx8L/src/copyable_task.jl:98 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:313 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:303 [7] #TapedTask#50 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:64 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:63 [inlined] [9] AdvancedPS.LibtaskModel(::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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:38 [10] 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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107 [11] 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/gwHwZ/src/mcmc/particle_mcmc.jl:453 [12] (::Turing.Inference.var"#59#60"{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 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#59#60"{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 [15] 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}}}}; kwargs::@Kwargs{initial_params::InitFromPrior}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:261 [16] kwcall(::@NamedTuple{initial_params::InitFromPrior}, ::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/gwHwZ/src/mcmc/particle_mcmc.jl:253 [17] 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{}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:182 [18] step @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:164 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{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, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{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, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:542 [22] 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 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:133 [inlined] [25] 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/XBmfQ/src/sample.jl:168 [26] 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/XBmfQ/src/sample.jl:123 [27] 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/gwHwZ/src/mcmc/abstractmcmc.jl:87 [28] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:76 [inlined] [29] #sample#1 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:73 [inlined] [30] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:70 [inlined] [31] #sample_chains##0 @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:93 [inlined] [32] _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 [33] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [34] mapreduce @ ./reducedim.jl:330 [inlined] [35] 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/2yWsr/ext/TuringExt.jl:93 [36] _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/2yWsr/ext/TuringExt.jl:48 [37] _estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:38 [inlined] [38] 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/2yWsr/ext/TuringExt.jl:34 [39] estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:23 [inlined] [40] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/2yWsr/src/bo.jl:82 [41] estimate_parameters! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:80 [inlined] [42] #bo!#38 @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:56 [inlined] [43] bo! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:50 [inlined] [44] (::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/2yWsr/test/combinatorial/dummy_problem.jl:16 [45] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [46] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:21 [inlined] [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:18 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [50] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [7.0] : [0.24551871061653685, -2.7465019970515003] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.849999999999998] : [6.543321094435184, 1.8799659253516696] [ 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: [12.0] : [1.4816422073867506, -1.3561225727441895] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 8: Error During Test at /home/pkgeval/.julia/packages/BOSS/2yWsr/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:833 Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any) @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:866 Stacktrace: [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:115 [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:52 [3] optimise_ir!(ir::Compiler.IRCode) @ Libtask ~/.julia/packages/Libtask/AGx8L/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/AGx8L/src/copyable_task.jl:98 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:313 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:303 [7] #TapedTask#50 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:64 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:63 [inlined] [9] AdvancedPS.LibtaskModel(::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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:38 [10] 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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107 [11] 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/gwHwZ/src/mcmc/particle_mcmc.jl:453 [12] (::Turing.Inference.var"#59#60"{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 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#59#60"{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 [15] 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}}}}; kwargs::@Kwargs{initial_params::InitFromPrior}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:261 [16] kwcall(::@NamedTuple{initial_params::InitFromPrior}, ::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/gwHwZ/src/mcmc/particle_mcmc.jl:253 [17] 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{}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:182 [18] step @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:164 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{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, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{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, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:542 [22] 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 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:133 [inlined] [25] 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/XBmfQ/src/sample.jl:168 [26] 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/XBmfQ/src/sample.jl:123 [27] 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/gwHwZ/src/mcmc/abstractmcmc.jl:87 [28] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:76 [inlined] [29] #sample#1 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:73 [inlined] [30] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:70 [inlined] [31] #sample_chains##0 @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:93 [inlined] [32] _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 [33] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [34] mapreduce @ ./reducedim.jl:330 [inlined] [35] 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/2yWsr/ext/TuringExt.jl:93 [36] _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/2yWsr/ext/TuringExt.jl:48 [37] _estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:38 [inlined] [38] 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/2yWsr/ext/TuringExt.jl:34 [39] estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:23 [inlined] [40] 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/2yWsr/src/bo.jl:82 [41] estimate_parameters! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:80 [inlined] [42] 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/2yWsr/src/bo.jl:37 [43] bo! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:30 [inlined] [44] (::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/2yWsr/test/combinatorial/dummy_problem.jl:22 [45] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [46] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:23 [inlined] [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:18 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [50] top-level scope @ ~/.julia/packages/BOSS/2yWsr/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: [20.0] : [-4.90784241116899, 2.910661278054597] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 11: Error During Test at /home/pkgeval/.julia/packages/BOSS/2yWsr/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:833 Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any) @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:866 Stacktrace: [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:115 [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:52 [3] optimise_ir!(ir::Compiler.IRCode) @ Libtask ~/.julia/packages/Libtask/AGx8L/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/AGx8L/src/copyable_task.jl:98 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:313 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:303 [7] #TapedTask#50 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:64 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:63 [inlined] [9] AdvancedPS.LibtaskModel(::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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:38 [10] 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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107 [11] 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/gwHwZ/src/mcmc/particle_mcmc.jl:453 [12] (::Turing.Inference.var"#59#60"{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 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#59#60"{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 [15] 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}}}}; kwargs::@Kwargs{initial_params::InitFromPrior}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:261 [16] kwcall(::@NamedTuple{initial_params::InitFromPrior}, ::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/gwHwZ/src/mcmc/particle_mcmc.jl:253 [17] 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{}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:182 [18] step @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:164 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{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, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{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, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:542 [22] 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 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:133 [inlined] [25] 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/XBmfQ/src/sample.jl:168 [26] 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/XBmfQ/src/sample.jl:123 [27] 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/gwHwZ/src/mcmc/abstractmcmc.jl:87 [28] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:76 [inlined] [29] #sample#1 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:73 [inlined] [30] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:70 [inlined] [31] #sample_chains##0 @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:93 [inlined] [32] _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 [33] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [34] mapreduce @ ./reducedim.jl:330 [inlined] [35] 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/2yWsr/ext/TuringExt.jl:93 [36] _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/2yWsr/ext/TuringExt.jl:48 [37] _estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:38 [inlined] [38] 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/2yWsr/ext/TuringExt.jl:34 [39] estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:23 [inlined] [40] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/2yWsr/src/bo.jl:82 [41] estimate_parameters! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:80 [inlined] [42] #bo!#38 @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:56 [inlined] [43] bo! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:50 [inlined] [44] (::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/2yWsr/test/combinatorial/dummy_problem.jl:16 [45] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [46] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:21 [inlined] [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:18 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [50] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [15.0] : [0.7459589975656372, -0.05840349640219942] [ 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/2yWsr/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:833 Compiler.IRInterpretationState(::Compiler.AbstractInterpreter, !Matched::Core.CodeInstance, !Matched::Core.MethodInstance, !Matched::Vector{Any}, ::Any) @ Base /opt/julia/share/julia/Compiler/src/inferencestate.jl:866 Stacktrace: [1] __infer_ir!(ir::Compiler.IRCode, interp::Compiler.NativeInterpreter, mi::Core.MethodInstance) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:115 [2] optimise_ir!(ir::Compiler.IRCode; show_ir::Bool, do_inline::Bool) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/utils.jl:52 [3] optimise_ir!(ir::Compiler.IRCode) @ Libtask ~/.julia/packages/Libtask/AGx8L/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/AGx8L/src/copyable_task.jl:98 [5] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}; kwargs::@Kwargs{}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:313 [6] Libtask.TapedTask(::AdvancedPSLibtaskExt.TapedGlobals{AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}, ::Function, ::Vararg{Any}) @ Libtask ~/.julia/packages/Libtask/AGx8L/src/copyable_task.jl:303 [7] #TapedTask#50 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:64 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:63 [inlined] [9] AdvancedPS.LibtaskModel(::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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:38 [10] 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}}}}, ::AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}) @ AdvancedPSLibtaskExt ~/.julia/packages/AdvancedPS/ZHu61/ext/AdvancedPSLibtaskExt.jl:107 [11] 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/gwHwZ/src/mcmc/particle_mcmc.jl:453 [12] (::Turing.Inference.var"#59#60"{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 [13] iterate @ ./generator.jl:48 [inlined] [14] collect(itr::Base.Generator{UnitRange{Int64}, Turing.Inference.var"#59#60"{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 [15] 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}}}}; kwargs::@Kwargs{initial_params::InitFromPrior}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/particle_mcmc.jl:261 [16] kwcall(::@NamedTuple{initial_params::InitFromPrior}, ::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/gwHwZ/src/mcmc/particle_mcmc.jl:253 [17] 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{}) @ Turing.Inference ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:182 [18] step @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:164 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{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, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{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, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:542 [22] 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 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/XBmfQ/src/logging.jl:133 [inlined] [25] 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/XBmfQ/src/sample.jl:168 [26] 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/XBmfQ/src/sample.jl:123 [27] 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/gwHwZ/src/mcmc/abstractmcmc.jl:87 [28] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:76 [inlined] [29] #sample#1 @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:73 [inlined] [30] sample @ ~/.julia/packages/Turing/gwHwZ/src/mcmc/abstractmcmc.jl:70 [inlined] [31] #sample_chains##0 @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:93 [inlined] [32] _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 [33] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [34] mapreduce @ ./reducedim.jl:330 [inlined] [35] 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/2yWsr/ext/TuringExt.jl:93 [36] _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/2yWsr/ext/TuringExt.jl:48 [37] _estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:38 [inlined] [38] 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/2yWsr/ext/TuringExt.jl:34 [39] estimate_parameters @ ~/.julia/packages/BOSS/2yWsr/ext/TuringExt.jl:23 [inlined] [40] 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/2yWsr/src/bo.jl:82 [41] estimate_parameters! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:80 [inlined] [42] 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/2yWsr/src/bo.jl:37 [43] bo! @ ~/.julia/packages/BOSS/2yWsr/src/bo.jl:30 [inlined] [44] (::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/2yWsr/test/combinatorial/dummy_problem.jl:22 [45] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [inlined] [46] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:23 [inlined] [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:18 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [50] top-level scope @ ~/.julia/packages/BOSS/2yWsr/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [10.866298924334037] : [-2.858274736780892, -1.6706236127660963] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [0.0] : [0.9091621482120387, -3.4315634618688367] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [19.739911049088835] : [-1.6274124766011742, 2.4055848520457226] [ Info: Estimating model parameters ... Test Summary: | Pass Error Total Time BOSS TESTS | 283 5 288 7m37.1s Code quality (Aqua.jl) | 11 11 1m42.7s Unit Tests | 258 1 259 3m45.5s acquisitions | 47 47 31.7s models | 87 87 1m38.5s posterior.jl | 1 1 1m06.8s average_mean(posteriors) | 1 1 1m06.8s term_conds | 2 2 1.1s types | 76 76 10.0s utils | 46 46 16.3s Combinatorial Tests | 14 4 18 1m43.8s Test 1 | 1 1 5.6s Test 2 | 1 1 12.7s Test 3 | 1 1 5.1s Test 4 | 1 1 25.9s Test 5 | 1 1 5.7s Test 6 | 1 1 5.0s Test 7 | 1 1 10.8s Test 8 | 1 1 8.1s Test 9 | 1 1 3.6s Test 10 | 1 1 2.3s Test 11 | 1 1 4.6s Test 12 | 1 1 4.1s Test 13 | 1 1 3.6s Test 14 | 1 1 2.5s Test 15 | 1 1 0.7s Test 16 | 1 1 1.0s Test 17 | 1 1 2.3s Test 18 | 1 1 0.0s RNG of the outermost testset: Random.Xoshiro(0x57a513c6e348bd39, 0x5bf771c36f1a399b, 0xbac7857cf08da165, 0x1191009be545938b, 0x8c6808c5284299d0) ERROR: LoadError: Some tests did not pass: 283 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/BOSS/2yWsr/test/runtests.jl:17 Testing failed after 1186.11s 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:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [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:572 [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:548 [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:237 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [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:228 PkgEval failed after 2134.07s: package tests unexpectedly errored