Package evaluation to test BOSS on Julia 1.14.0-DEV.1584 (ac5fadde9b*) started at 2026-01-18T21:48:50.463 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.57s ################################################################################ # Installation # Installing BOSS... Resolving package versions... Installed CompositionsBase ──────────── v0.1.2 Installed Rmath_jll ─────────────────── v0.5.1+0 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 HypergeometricFunctions ───── v0.3.28 Installed ConstructionBase ──────────── v1.6.0 Installed AliasTables ───────────────── v1.1.3 Installed RuntimeGeneratedFunctions ─── v0.5.16 Installed StatsBase ─────────────────── v0.34.10 Installed ExprTools ─────────────────── v0.1.10 Installed ArrayInterface ────────────── v7.22.0 Installed SymbolicIndexingInterface ─── v0.3.46 Installed OrderedCollections ────────── v1.8.1 Installed Functors ──────────────────── v0.5.2 Installed BOSS ──────────────────────── v0.5.3 Installed Compat ────────────────────── v4.18.1 Installed Optimization ──────────────── v5.4.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed FunctionWrappersWrappers ──── v0.1.3 Installed ProgressLogging ───────────── v0.1.6 Installed RecipesBase ───────────────── v1.3.4 Installed PreallocationTools ────────── v1.0.0 Installed DataAPI ───────────────────── v1.16.0 Installed SciMLOperators ────────────── v1.14.1 Installed Statistics ────────────────── v1.11.1 Installed PrecompileTools ───────────── v1.3.3 Installed ConsoleProgressMonitor ────── v0.1.2 Installed TensorCore ────────────────── v0.1.1 Installed ProgressMeter ─────────────── v1.11.0 Installed StatsAPI ──────────────────── v1.8.0 Installed ArgCheck ──────────────────── v2.5.0 Installed ExproniconLite ────────────── v0.10.14 Installed SciMLStructures ───────────── v1.10.0 Installed StaticArraysCore ──────────── v1.4.4 Installed GPUArraysCore ─────────────── v0.2.0 Installed LoggingExtras ─────────────── v1.2.0 Installed IrrationalConstants ───────── v0.2.6 Installed Distances ─────────────────── v0.10.12 Installed AbstractGPs ───────────────── v0.5.24 Installed ChainRulesCore ────────────── v1.26.0 Installed SparseConnectivityTracer ──── v1.1.3 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed TerminalLoggers ───────────── v0.1.7 Installed SciMLPublic ───────────────── v1.0.1 Installed QuadGK ────────────────────── v2.11.2 Installed FunctionWrappers ──────────── v1.1.3 Installed Requires ──────────────────── v1.3.1 Installed LogExpFunctions ───────────── v0.3.29 Installed StableRNGs ────────────────── v1.0.4 Installed LeftChildRightSiblingTrees ── v0.2.1 Installed Rmath ─────────────────────── v0.9.0 Installed FastClosures ──────────────── v0.3.2 Installed Roots ─────────────────────── v2.2.10 Installed SciMLBase ─────────────────── v2.134.0 Installed Distributions ─────────────── v0.25.123 Installed KernelFunctions ───────────── v0.10.67 Installed StatsFuns ─────────────────── v1.5.2 Installed PtrArrays ─────────────────── v1.3.0 Installed EnumX ─────────────────────── v1.0.5 Installed Reexport ──────────────────── v1.2.2 Installed InverseFunctions ──────────── v0.1.17 Installed SciMLLogging ──────────────── v1.8.0 Installed Jieko ─────────────────────── v0.2.1 Installed SpecialFunctions ──────────── v2.6.1 Installed Missings ──────────────────── v1.2.0 Installed Preferences ───────────────── v1.5.1 Installed OptimizationBase ──────────── v4.2.0 Installed JLLWrappers ───────────────── v1.7.1 Installed ZygoteRules ───────────────── v0.2.7 Installed SortingAlgorithms ─────────── v1.2.2 Installed MappedArrays ──────────────── v0.4.3 Installed PDMats ────────────────────── v0.11.37 Installed ChangesOfVariables ────────── v0.1.10 Installed Moshi ─────────────────────── v0.3.7 Installed RecursiveArrayTools ───────── v3.44.0 Installed Bijectors ─────────────────── v0.15.15 Installed ADTypes ───────────────────── v1.21.0 Installed DocStringExtensions ───────── v0.9.5 Installed Accessors ─────────────────── v0.1.43 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 v1.0.5 [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 v3.44.0 [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 10.4s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4528.0 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling packages... 4557.8 ms ✓ MacroTools 821.9 ms ✓ Reexport 1028.5 ms ✓ MappedArrays 918.6 ms ✓ TensorCore 1188.5 ms ✓ ConstructionBase 2148.6 ms ✓ IrrationalConstants 898.6 ms ✓ ChangesOfVariables 790.7 ms ✓ DataValueInterfaces 768.0 ms ✓ MistyClosures 893.5 ms ✓ StatsAPI 1167.5 ms ✓ IterTools 1033.9 ms ✓ IntervalSets 2125.3 ms ✓ Combinatorics 940.8 ms ✓ ArgCheck 811.8 ms ✓ CommonSolve 871.5 ms ✓ LaTeXStrings 2296.1 ms ✓ Baselet 1149.8 ms ✓ Statistics 944.8 ms ✓ StaticArraysCore 951.1 ms ✓ StableRNGs 834.0 ms ✓ PtrArrays 789.0 ms ✓ NaturalSort 1004.1 ms ✓ PositiveFactorizations 1206.9 ms ✓ DataAPI 1012.0 ms ✓ SciMLPublic 3558.8 ms ✓ ExproniconLite 806.8 ms ✓ RealDot 855.2 ms ✓ InvertedIndices 1637.9 ms ✓ RandomNumbers 987.2 ms ✓ InverseFunctions 870.1 ms ✓ CompositionsBase 1137.1 ms ✓ AbstractTrees 1539.4 ms ✓ InitialValues 1049.1 ms ✓ AbstractFFTs 906.6 ms ✓ EnumX 2231.2 ms ✓ FillArrays 871.8 ms ✓ ExprTools 852.0 ms ✓ ScientificTypesBase 862.6 ms ✓ RangeArrays 1234.3 ms ✓ OrderedCollections 1316.7 ms ✓ FunctionWrappers 1337.4 ms ✓ ADTypes 1031.6 ms ✓ ProgressLogging 1051.3 ms ✓ DocStringExtensions 849.8 ms ✓ FastClosures 814.2 ms ✓ DefineSingletons 1515.1 ms ✓ OffsetArrays 784.9 ms ✓ IteratorInterfaceExtensions 1901.1 ms ✓ Crayons 1046.5 ms ✓ DelimitedFiles 3118.4 ms ✓ Chairmarks 1073.8 ms ✓ NaNMath 1190.0 ms ✓ Requires 1833.3 ms ✓ PDMats 1318.6 ms ✓ SparseInverseSubset 1431.6 ms ✓ WoodburyMatrices 1132.7 ms ✓ LoggingExtras 1459.3 ms ✓ StructUtils 1788.2 ms ✓ ProgressMeter 1203.3 ms ✓ Compat 1166.4 ms ✓ Preferences 1626.7 ms ✓ CommonSubexpressions 806.8 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 4304.6 ms ✓ ChangesOfVariables → ChangesOfVariablesTestExt 2784.4 ms ✓ Libtask 785.4 ms ✓ IntervalSets → IntervalSetsRandomExt 812.8 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1296.7 ms ✓ Statistics → SparseArraysExt 1439.4 ms ✓ Distances 773.8 ms ✓ IntervalSets → IntervalSetsStatisticsExt 892.3 ms ✓ DiffResults 972.6 ms ✓ AliasTables 980.4 ms ✓ Missings 3303.0 ms ✓ Jieko 1939.1 ms ✓ Random123 895.8 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1684.9 ms ✓ InverseFunctions → InverseFunctionsTestExt 860.4 ms ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 819.3 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 877.7 ms ✓ LeftChildRightSiblingTrees 4275.4 ms ✓ AbstractFFTs → AbstractFFTsTestExt 1519.9 ms ✓ FillArrays → FillArraysSparseArraysExt 992.0 ms ✓ FillArrays → FillArraysStatisticsExt 925.7 ms ✓ RuntimeGeneratedFunctions 921.6 ms ✓ StatisticalTraits 3581.2 ms ✓ DataStructures 808.4 ms ✓ FunctionWrappersWrappers 813.6 ms ✓ ADTypes → ADTypesConstructionBaseExt 1816.9 ms ✓ DifferentiationInterface 1328.9 ms ✓ LogExpFunctions 2031.5 ms ✓ LogDensityProblems 771.4 ms ✓ TableTraits 870.9 ms ✓ Chairmarks → StatisticsChairmarksExt 831.1 ms ✓ Ratios 938.8 ms ✓ Adapt 2465.8 ms ✓ TypeUtils 1423.5 ms ✓ FillArrays → FillArraysPDMatsExt 1341.5 ms ✓ AxisAlgorithms 910.1 ms ✓ ConsoleProgressMonitor 822.6 ms ✓ Compat → CompatLinearAlgebraExt 931.2 ms ✓ PrecompileTools 1220.7 ms ✓ JLLWrappers 1436.5 ms ✓ SciMLLogging 2964.0 ms ✓ Setfield 1516.9 ms ✓ AxisArrays 2470.1 ms ✓ NamedArrays 1377.3 ms ✓ Distances → DistancesSparseArraysExt 17436.5 ms ✓ Moshi 2080.7 ms ✓ DensityInterface 5404.5 ms ✓ Accessors 2045.8 ms ✓ TerminalLoggers 9599.1 ms ✓ SparseConnectivityTracer 3230.2 ms ✓ MLJModelInterface 1068.1 ms ✓ SortingAlgorithms 2476.0 ms ✓ QuadGK 1375.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 851.7 ms ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 988.2 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1110.4 ms ✓ LogDensityProblemsAD 1804.9 ms ✓ Tables 1205.2 ms ✓ ArrayInterface 1294.0 ms ✓ Adapt → AdaptSparseArraysExt 1274.2 ms ✓ GPUArraysCore 862.8 ms ✓ OffsetArrays → OffsetArraysAdaptExt 847.7 ms ✓ TypeUtils → TypeUtilsOffsetArraysExt 2701.5 ms ✓ ChainRulesCore 6821.3 ms ✓ Aqua 1262.1 ms ✓ Functors 3172.5 ms ✓ StringManipulation 14136.2 ms ✓ StaticArrays 2934.3 ms ✓ RecipesBase 17019.8 ms ✓ Parsers 12381.6 ms ✓ SparseMatrixColorings 1419.5 ms ✓ Rmath_jll 1451.6 ms ✓ OpenSpecFun_jll 4927.1 ms ✓ IntelOpenMP_jll 5123.4 ms ✓ oneTBB_jll 1467.7 ms ✓ FFTW_jll 1428.3 ms ✓ PRIMA_jll 3612.8 ms ✓ SplittablesBase 2376.8 ms ✓ Accessors → TestExt 3482.1 ms ✓ Accessors → IntervalSetsExt 3262.2 ms ✓ Accessors → LinearAlgebraExt 3161.0 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerNaNMathExt 3065.2 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerLogExpFunctionsExt 1865.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseConnectivityTracerExt 4641.8 ms ✓ StatsBase 1048.5 ms ✓ LogDensityProblemsAD → LogDensityProblemsADADTypesExt 1672.7 ms ✓ StructArrays 974.7 ms ✓ StructUtils → StructUtilsTablesExt 800.5 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1340.8 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1466.9 ms ✓ SciMLStructures 2473.4 ms ✓ PreallocationTools 870.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 853.8 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1584.5 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 2563.2 ms ✓ ZygoteRules 1216.9 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 956.5 ms ✓ ADTypes → ADTypesChainRulesCoreExt 1075.2 ms ✓ Distances → DistancesChainRulesCoreExt 996.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3576.8 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1899.6 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerChainRulesCoreExt 950.8 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 2655.1 ms ✓ Optimisers 38165.1 ms ✓ PrettyTables 1540.7 ms ✓ StaticArrays → StaticArraysStatisticsExt 1560.8 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1485.4 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1725.3 ms ✓ FillArrays → FillArraysStaticArraysExt 1643.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1497.0 ms ✓ Adapt → AdaptStaticArraysExt 1792.1 ms ✓ Accessors → StaticArraysExt 1595.2 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 7450.3 ms ✓ JSON 2000.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt 1521.5 ms ✓ Rmath 5168.3 ms ✓ SpecialFunctions  Downloading artifact: IntelOpenMP  Downloading artifact: oneTBB 10656.0 ms ✓ MKL_jll 1862.4 ms ✓ PRIMA 2306.9 ms ✓ BangBang 7327.3 ms ✓ Roots 4874.0 ms ✓ SciMLOperators 2014.4 ms ✓ LatinHypercubeSampling 1477.5 ms ✓ PDMats → StatsBaseExt 1014.8 ms ✓ LogDensityProblemsAD → LogDensityProblemsADDifferentiationInterfaceExt 1340.1 ms ✓ StructArrays → StructArraysSparseArraysExt 858.8 ms ✓ StructArrays → StructArraysLinearAlgebraExt 841.9 ms ✓ StructArrays → StructArraysAdaptExt 1586.9 ms ✓ StructArrays → StructArraysStaticArraysExt 1059.4 ms ✓ Accessors → StructArraysExt 1343.2 ms ✓ FiniteDiff 3681.6 ms ✓ SymbolicIndexingInterface 2157.1 ms ✓ PreallocationTools → PreallocationToolsSparseConnectivityTracerExt 1414.6 ms ✓ Optimisers → OptimisersAdaptExt 4683.6 ms ✓ Interpolations 4647.7 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2284.4 ms ✓ HypergeometricFunctions 1462.1 ms ✓ DiffRules 3788.6 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt 7022.4 ms ✓ FFTW 1165.4 ms ✓ BangBang → BangBangChainRulesCoreExt 1334.3 ms ✓ BangBang → BangBangTablesExt 1265.4 ms ✓ BangBang → BangBangStructArraysExt 1697.7 ms ✓ BangBang → BangBangStaticArraysExt 2772.8 ms ✓ MicroCollections 1178.3 ms ✓ Roots → RootsChainRulesCoreExt 1056.3 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1708.6 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 12720.6 ms ✓ ChainRules 1396.6 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1287.3 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 994.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3517.9 ms ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 8086.0 ms ✓ RecursiveArrayTools 11649.1 ms ✓ KernelFunctions 2897.0 ms ✓ StatsFuns 6742.3 ms ✓ ForwardDiff 7676.1 ms ✓ Transducers 1596.4 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1972.2 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1429.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 1322.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt 1440.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 3671.9 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 967.0 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 9133.2 ms ✓ Distributions 1766.5 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1412.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1501.9 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 2408.4 ms ✓ PreallocationTools → PreallocationToolsForwardDiffExt 1240.7 ms ✓ Roots → RootsForwardDiffExt 2579.6 ms ✓ Interpolations → InterpolationsForwardDiffExt 1427.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1821.5 ms ✓ Transducers → TransducersAdaptExt 4449.3 ms ✓ AbstractMCMC 30413.2 ms ✓ SciMLBase 3517.4 ms ✓ Distributions → DistributionsTestExt 3112.1 ms ✓ Distributions → DistributionsDensityInterfaceExt 3109.3 ms ✓ Distributions → DistributionsChainRulesCoreExt 4919.4 ms ✓ MCMCDiagnosticTools 1878.0 ms ✓ NLSolversBase 6981.9 ms ✓ AdvancedHMC 3993.6 ms ✓ AbstractPPL 3343.4 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 3819.2 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 3206.7 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 4473.1 ms ✓ SciMLBase → SciMLBaseDistributionsExt 3881.8 ms ✓ SSMProblems 4566.8 ms ✓ AdvancedMH 3820.3 ms ✓ EllipticalSliceSampling 4030.8 ms ✓ KernelDensity 5699.7 ms ✓ AbstractGPs 7935.5 ms ✓ Bijectors 6012.6 ms ✓ AdvancedVI 8531.6 ms ✓ DistributionsAD 2479.6 ms ✓ LineSearches 3641.9 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 5779.4 ms ✓ AbstractPPL → AbstractPPLDistributionsExt 7460.9 ms ✓ OptimizationBase 4555.7 ms ✓ AdvancedPS 3736.8 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 3850.0 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 9808.5 ms ✓ MCMCChains 3012.9 ms ✓ Bijectors → BijectorsForwardDiffExt 3218.6 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 3075.4 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 3096.7 ms ✓ Bijectors → BijectorsDistributionsADExt 6283.7 ms ✓ Optim 20656.7 ms ✓ DynamicPPL 5020.1 ms ✓ OptimizationPRIMA 827.5 ms ✓ OptimizationBase → OptimizationFiniteDiffExt 1221.2 ms ✓ OptimizationBase → OptimizationForwardDiffExt 4896.1 ms ✓ Optimization 4313.4 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 7828.1 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 7317.8 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 5117.7 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 8877.3 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 4961.5 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 41112.9 ms ✓ OptimizationOptimJL 10280.7 ms ✓ BOSS 17188.2 ms ✓ Turing 19368.0 ms ✓ BOSS → TuringExt 285 dependencies successfully precompiled in 917 seconds. 41 already precompiled. 1 dependency had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ Precompilation completed after 927.37s ################################################################################ # Testing # Testing BOSS Status `/tmp/jl_Atqs9r/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_Atqs9r/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 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v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+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: [12.31758960941826] : [3.058382146463704, -1.221192204420003] [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [17.018839193148626] : [-4.729694123300391, 1.122697585519543] [ 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: [16.0] : [4.169875192694195, 0.41351972081637667] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.849999999999998] : [6.708694355169264, 2.167450834542501] [ 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: [17.0] : [-4.626112972523923, 0.9642075767618826] [ 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: [12.0] : [1.4533210145967355, -1.2745129369248622] [ 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: [20.0] : [-4.8830456379930505, 2.7254870630751378] [ 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: [18.454039460095796] : [4.522434937487801, 1.6857432921407391] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [0.0] : [1.2280116224754352, -3.4355198114281458] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [12.31758960941826] : [3.058382146463704, -1.221192204420003] [ Info: Estimating model parameters ... Test Summary: | Pass Error Total Time BOSS TESTS | 283 5 288 7m28.0s Code quality (Aqua.jl) | 11 11 1m41.0s Unit Tests | 258 1 259 3m34.6s acquisitions | 47 47 22.9s models | 87 87 1m34.2s posterior.jl | 1 1 1m08.2s average_mean(posteriors) | 1 1 1m08.2s term_conds | 2 2 1.2s types | 76 76 10.4s utils | 46 46 16.7s Combinatorial Tests | 14 4 18 1m46.4s Test 1 | 1 1 5.6s Test 2 | 1 1 12.3s Test 3 | 1 1 5.1s Test 4 | 1 1 26.8s Test 5 | 1 1 6.0s Test 6 | 1 1 5.1s Test 7 | 1 1 11.1s Test 8 | 1 1 8.5s Test 9 | 1 1 3.9s Test 10 | 1 1 2.4s Test 11 | 1 1 4.6s Test 12 | 1 1 4.3s Test 13 | 1 1 3.7s Test 14 | 1 1 2.5s Test 15 | 1 1 0.8s Test 16 | 1 1 1.2s Test 17 | 1 1 2.3s Test 18 | 1 1 0.0s RNG of the outermost testset: Random.Xoshiro(0x1cfc2c816a91196a, 0xc963b82a5959f3f0, 0x94357f5586d88598, 0x280acba26070fc45, 0x767e631cbbf07715) 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 1211.07s 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 2218.2s: package tests unexpectedly errored