Package evaluation to test BOSS on Julia 1.14.0-DEV.1299 (6d6224db99*) started at 2025-11-25T21:12:52.716 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.14s ################################################################################ # Installation # Installing BOSS... Resolving package versions... Installed Rmath_jll ─────────────────── v0.5.1+0 Installed CommonSolve ───────────────── v0.2.4 Installed MacroTools ────────────────── v0.5.16 Installed AbstractTrees ─────────────── v0.4.5 Installed FillArrays ────────────────── v1.15.0 Installed SparseMatrixColorings ─────── v0.4.23 Installed DataStructures ────────────── v0.19.3 Installed CompositionsBase ──────────── v0.1.2 Installed Adapt ─────────────────────── v4.4.0 Installed ConstructionBase ──────────── v1.6.0 Installed RuntimeGeneratedFunctions ─── v0.5.16 Installed HypergeometricFunctions ───── v0.3.28 Installed AliasTables ───────────────── v1.1.3 Installed StatsBase ─────────────────── v0.34.8 Installed ExprTools ─────────────────── v0.1.10 Installed SymbolicIndexingInterface ─── v0.3.46 Installed OrderedCollections ────────── v1.8.1 Installed ArrayInterface ────────────── v7.22.0 Installed Functors ──────────────────── v0.5.2 Installed Compat ────────────────────── v4.18.1 Installed BOSS ──────────────────────── v0.5.2 Installed Optimization ──────────────── v5.1.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed ProgressLogging ───────────── v0.1.6 Installed FunctionWrappersWrappers ──── v0.1.3 Installed RecipesBase ───────────────── v1.3.4 Installed DataAPI ───────────────────── v1.16.0 Installed PreallocationTools ────────── v0.4.34 Installed SciMLOperators ────────────── v1.13.0 Installed Statistics ────────────────── v1.11.1 Installed PrecompileTools ───────────── v1.3.3 Installed ConsoleProgressMonitor ────── v0.1.2 Installed TensorCore ────────────────── v0.1.1 Installed StatsAPI ──────────────────── v1.7.1 Installed ProgressMeter ─────────────── v1.11.0 Installed SciMLStructures ───────────── v1.7.0 Installed ExproniconLite ────────────── v0.10.14 Installed ArgCheck ──────────────────── v2.5.0 Installed LoggingExtras ─────────────── v1.2.0 Installed IrrationalConstants ───────── v0.2.6 Installed StaticArraysCore ──────────── v1.4.4 Installed Distances ─────────────────── v0.10.12 Installed AbstractGPs ───────────────── v0.5.24 Installed GPUArraysCore ─────────────── v0.2.0 Installed ChainRulesCore ────────────── v1.26.0 Installed SparseConnectivityTracer ──── v1.1.3 Installed SciMLPublic ───────────────── v1.0.0 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed QuadGK ────────────────────── v2.11.2 Installed TerminalLoggers ───────────── v0.1.7 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 ─────────────────── v2.127.0 Installed Distributions ─────────────── v0.25.122 Installed KernelFunctions ───────────── v0.10.66 Installed StatsFuns ─────────────────── v1.5.2 Installed EnumX ─────────────────────── v1.0.5 Installed PtrArrays ─────────────────── v1.3.0 Installed SciMLLogging ──────────────── v1.5.0 Installed Reexport ──────────────────── v1.2.2 Installed InverseFunctions ──────────── v0.1.17 Installed SpecialFunctions ──────────── v2.6.1 Installed Jieko ─────────────────────── v0.2.1 Installed Missings ──────────────────── v1.2.0 Installed Preferences ───────────────── v1.5.0 Installed OptimizationBase ──────────── v4.0.2 Installed JLLWrappers ───────────────── v1.7.1 Installed ZygoteRules ───────────────── v0.2.7 Installed Moshi ─────────────────────── v0.3.7 Installed MappedArrays ──────────────── v0.4.2 Installed ChangesOfVariables ────────── v0.1.10 Installed SortingAlgorithms ─────────── v1.2.2 Installed PDMats ────────────────────── v0.11.36 Installed RecursiveArrayTools ───────── v3.39.0 Installed Bijectors ─────────────────── v0.15.12 Installed ADTypes ───────────────────── v1.19.0 Installed DocStringExtensions ───────── v0.9.5 Installed Accessors ─────────────────── v0.1.42 Installed DifferentiationInterface ──── v0.7.12 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 v0.5.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.19.0 [99985d1d] + AbstractGPs v0.5.24 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [15052f3f] + BOSS v0.5.2 [76274a88] + Bijectors v0.15.12 [d360d2e6] + ChainRulesCore v1.26.0 [9e997f8a] + ChangesOfVariables v0.1.10 [38540f10] + CommonSolve v0.2.4 [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 v0.7.12 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.122 [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 v1.15.0 [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 v0.10.66 [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 v0.4.2 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [7f7a1694] + Optimization v5.1.0 [bca83a33] + OptimizationBase v4.0.2 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.36 [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [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 v3.39.0 [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 v2.127.0 [a6db7da4] + SciMLLogging v1.5.0 [c0aeaf25] + SciMLOperators v1.13.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [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 v1.7.1 [2913bbd2] + StatsBase v0.34.8 [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 v1.12.0 [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 10.47s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... WARNING: Imported binding Operations.project_rel_path was undeclared at import time during import to TestEnv. 4393.3 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. 1 dependency had output during precompilation: ┌ TestEnv │ WARNING: Imported binding Operations.project_rel_path was undeclared at import time during import to TestEnv. └ ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 4126.3 ms ✓ MacroTools 811.2 ms ✓ Reexport 976.4 ms ✓ MappedArrays 935.4 ms ✓ TensorCore 1132.7 ms ✓ ConstructionBase 2201.8 ms ✓ IrrationalConstants 902.2 ms ✓ ChangesOfVariables 849.7 ms ✓ StatsAPI 979.7 ms ✓ ArgCheck 849.1 ms ✓ CommonSolve 1134.9 ms ✓ Statistics 965.7 ms ✓ StaticArraysCore 933.9 ms ✓ StableRNGs 827.9 ms ✓ PtrArrays 947.8 ms ✓ DataAPI 991.8 ms ✓ SciMLPublic 3523.5 ms ✓ ExproniconLite 964.2 ms ✓ InverseFunctions 847.2 ms ✓ CompositionsBase 1124.8 ms ✓ AbstractTrees 904.4 ms ✓ EnumX 2084.1 ms ✓ FillArrays 872.7 ms ✓ ExprTools 1287.8 ms ✓ OrderedCollections 1498.3 ms ✓ FunctionWrappers 1368.4 ms ✓ ADTypes 1081.9 ms ✓ ProgressLogging 1107.6 ms ✓ DocStringExtensions 821.7 ms ✓ FastClosures 759.0 ms ✓ IteratorInterfaceExtensions 1181.0 ms ✓ Requires 1254.0 ms ✓ SuiteSparse 1078.8 ms ✓ LoggingExtras 1780.0 ms ✓ ProgressMeter 1146.5 ms ✓ Compat 1130.8 ms ✓ Preferences 793.4 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 3560.5 ms ✓ ChangesOfVariables → ChangesOfVariablesTestExt 1296.2 ms ✓ Statistics → SparseArraysExt 1457.4 ms ✓ Distances 1003.0 ms ✓ AliasTables 949.0 ms ✓ Missings 3027.3 ms ✓ Jieko 833.4 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1563.9 ms ✓ InverseFunctions → InverseFunctionsTestExt 853.1 ms ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 802.4 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 864.5 ms ✓ LeftChildRightSiblingTrees 1476.3 ms ✓ FillArrays → FillArraysSparseArraysExt 969.3 ms ✓ FillArrays → FillArraysStatisticsExt 913.1 ms ✓ RuntimeGeneratedFunctions 3540.5 ms ✓ DataStructures 821.1 ms ✓ FunctionWrappersWrappers 793.3 ms ✓ ADTypes → ADTypesConstructionBaseExt 1817.1 ms ✓ DifferentiationInterface 1498.9 ms ✓ LogExpFunctions 1024.1 ms ✓ Adapt 1711.0 ms ✓ PDMats 885.8 ms ✓ ConsoleProgressMonitor 814.2 ms ✓ Compat → CompatLinearAlgebraExt 903.1 ms ✓ PrecompileTools 1218.7 ms ✓ JLLWrappers 1329.4 ms ✓ SciMLLogging 1298.4 ms ✓ Distances → DistancesSparseArraysExt 15967.6 ms ✓ Moshi 5010.8 ms ✓ Accessors 1865.6 ms ✓ TerminalLoggers 9634.1 ms ✓ SparseConnectivityTracer 1323.9 ms ✓ SortingAlgorithms 2420.7 ms ✓ QuadGK 1493.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 822.4 ms ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 830.6 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1242.5 ms ✓ ArrayInterface 1292.4 ms ✓ Adapt → AdaptSparseArraysExt 1210.6 ms ✓ GPUArraysCore 1757.6 ms ✓ FillArrays → FillArraysPDMatsExt 2681.8 ms ✓ ChainRulesCore 1344.4 ms ✓ Functors 2705.1 ms ✓ RecipesBase 11180.9 ms ✓ SparseMatrixColorings 1422.8 ms ✓ Rmath_jll 1440.5 ms ✓ OpenSpecFun_jll 2407.3 ms ✓ Accessors → TestExt 2696.3 ms ✓ Accessors → LinearAlgebraExt 2536.1 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerLogExpFunctionsExt 1769.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseConnectivityTracerExt 4310.9 ms ✓ StatsBase 788.4 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1275.5 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 859.2 ms ✓ SciMLStructures 1713.1 ms ✓ PreallocationTools 816.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 803.2 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1277.4 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 2293.7 ms ✓ ZygoteRules 828.3 ms ✓ ADTypes → ADTypesChainRulesCoreExt 891.4 ms ✓ Distances → DistancesChainRulesCoreExt 876.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 2828.8 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1795.8 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerChainRulesCoreExt 837.1 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 1771.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt 1495.5 ms ✓ Rmath 5030.9 ms ✓ SpecialFunctions 5233.0 ms ✓ Roots 4563.7 ms ✓ SciMLOperators 2342.5 ms ✓ LatinHypercubeSampling 1460.4 ms ✓ PDMats → StatsBaseExt 3664.7 ms ✓ SymbolicIndexingInterface 1955.6 ms ✓ PreallocationTools → PreallocationToolsSparseConnectivityTracerExt 4057.3 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2650.2 ms ✓ HypergeometricFunctions 2884.2 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt 1213.0 ms ✓ Roots → RootsChainRulesCoreExt 1085.7 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1559.7 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 3702.0 ms ✓ RecursiveArrayTools 9850.1 ms ✓ KernelFunctions 2607.2 ms ✓ StatsFuns 1766.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 24025.1 ms ✓ SciMLBase 3358.8 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1089.0 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 9124.9 ms ✓ Distributions 2864.9 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 2788.0 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 3592.2 ms ✓ Distributions → DistributionsTestExt 3006.3 ms ✓ Distributions → DistributionsChainRulesCoreExt 3900.8 ms ✓ SciMLBase → SciMLBaseDistributionsExt 5903.8 ms ✓ OptimizationBase 5553.4 ms ✓ AbstractGPs 7199.7 ms ✓ Bijectors 4050.3 ms ✓ Optimization 9187.1 ms ✓ BOSS 135 dependencies successfully precompiled in 326 seconds. 17 already precompiled. Precompilation completed after 335.83s ################################################################################ # Testing # Testing BOSS Status `/tmp/jl_Zh04ge/Project.toml` [4c88cf16] Aqua v0.8.14 [15052f3f] BOSS v0.5.2 [31c24e10] Distributions v0.25.122 [ec8451be] KernelFunctions v0.10.66 [72f8369c] OptimizationPRIMA v0.3.4 ⌃ [fce5fe82] Turing v0.40.5 [37e2e46d] LinearAlgebra v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Zh04ge/Manifest.toml` [47edcb42] ADTypes v1.19.0 [621f4979] AbstractFFTs v1.5.0 [99985d1d] AbstractGPs v0.5.24 [80f14c24] AbstractMCMC v5.10.0 [7a57a42e] AbstractPPL v0.13.6 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [0bf59076] AdvancedHMC v0.8.3 [5b7e9947] AdvancedMH v0.8.9 [576499cb] AdvancedPS v0.7.0 ⌅ [b5ca4192] AdvancedVI v0.4.1 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [15052f3f] BOSS v0.5.2 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [76274a88] Bijectors v0.15.12 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [0ca39b1e] Chairmarks v1.3.1 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [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 v0.7.12 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.37.5 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.10.0 [9aa1b823] FastClosures v0.3.2 [1a297f60] FillArrays v1.15.0 [6a86dc24] FiniteDiff v2.29.0 [f6369f11] ForwardDiff v1.3.0 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.3.0 [ae98c720] Jieko v0.2.1 [5ab0869b] KernelDensity v0.6.10 [ec8451be] KernelFunctions v0.10.66 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 [6f1fad26] Libtask v0.9.10 [d3d80556] LineSearches v7.4.1 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [c7f686f2] MCMCChains v7.6.0 [be115224] MCMCDiagnosticTools v0.3.15 [e80e1ace] MLJModelInterface v1.12.0 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [dbe65cb8] MistyClosures v2.1.0 [2e0e35c7] Moshi v0.3.7 [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [86f7a689] NamedArrays v0.10.5 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 [7f7a1694] Optimization v5.1.0 [bca83a33] OptimizationBase v4.0.2 [36348300] OptimizationOptimJL v0.4.8 [72f8369c] OptimizationPRIMA v0.3.4 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.36 [0a7d04aa] PRIMA v0.2.4 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations 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Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.17.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [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...  Downloading artifact: IntelOpenMP  Downloading artifact: oneTBB 1 dependency had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ [ Info: Running Unit Tests ... [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/acquisitions/expected_improvement.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/models/gaussian_process.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/models/parametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/models/semiparametric.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/models/utils/kernels.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/posterior.jl average_mean(posteriors): Error During Test at /home/pkgeval/.julia/packages/BOSS/obD9H/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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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#58 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:95 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:94 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:510 [12] (::Turing.Inference.var"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:312 [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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:133 [18] step @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:116 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [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:651 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 [26] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:93 [28] sample @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:83 [inlined] [29] #sample#112 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:31 [inlined] [30] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:22 [inlined] [31] #sample#111 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:19 [inlined] [32] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:16 [inlined] [33] #sample_chains##0 @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [inlined] [34] _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}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [35] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [36] mapreduce @ ./reducedim.jl:330 [inlined] [37] 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}) @ TuringExt ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [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/obD9H/ext/TuringExt.jl:48 [39] _estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:38 [inlined] [40] #17 @ ./broadcast.jl:1332 [inlined] [41] _broadcast_getindex_evalf @ ./broadcast.jl:698 [inlined] [42] _broadcast_getindex @ ./broadcast.jl:671 [inlined] [43] _getindex @ ./broadcast.jl:619 [inlined] [44] getindex @ ./broadcast.jl:615 [inlined] [45] copy @ ./broadcast.jl:932 [inlined] [46] 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 [47] 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/obD9H/ext/TuringExt.jl:29 [48] estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:23 [inlined] [49] 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/obD9H/src/bo.jl:82 [50] 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/obD9H/src/bo.jl:80 [51] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/unit/test/posterior.jl:3 [52] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [53] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/unit/test/posterior.jl:25 [inlined] [54] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [55] IncludeInto @ ./Base.jl:311 [inlined] [56] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/unit/runtests.jl:9 [inlined] [57] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [58] include_unit_tests(dir::String) @ Main ~/.julia/packages/BOSS/obD9H/test/unit/runtests.jl:9 [59] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/unit/runtests.jl:20 [60] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [61] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/unit/runtests.jl:21 [inlined] [62] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [63] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/runtests.jl:18 [64] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [65] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/runtests.jl:22 [inlined] [66] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [67] top-level scope @ none:6 [68] eval(m::Module, e::Any) @ Core ./boot.jl:489 [69] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [70] _start() @ Base ./client.jl:577 [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/term_conds/iter_limit.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/types/domain.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/test/unit/test/utils/distributions.jl [ Info: Testing /home/pkgeval/.julia/packages/BOSS/obD9H/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: [10.731661812623443] : [-2.5317178352686636, -1.8802328384679627] [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [1.9199114574634724] : [-1.0229192583475843, -3.4193247715081956] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 2: Error During Test at /home/pkgeval/.julia/packages/BOSS/obD9H/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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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#58 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:95 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:94 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:510 [12] (::Turing.Inference.var"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:312 [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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:133 [18] step @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:116 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [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:651 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 [26] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:93 [28] sample @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:83 [inlined] [29] #sample#112 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:31 [inlined] [30] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:22 [inlined] [31] #sample#111 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:19 [inlined] [32] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:16 [inlined] [33] #sample_chains##0 @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [inlined] [34] _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}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [35] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [36] mapreduce @ ./reducedim.jl:330 [inlined] [37] 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}) @ TuringExt ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [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/obD9H/ext/TuringExt.jl:48 [39] _estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:38 [inlined] [40] 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/obD9H/ext/TuringExt.jl:34 [41] estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:23 [inlined] [42] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/obD9H/src/bo.jl:82 [43] estimate_parameters! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:80 [inlined] [44] #bo!#38 @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:56 [inlined] [45] bo! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:50 [inlined] [46] (::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/obD9H/test/combinatorial/dummy_problem.jl:16 [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:750 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:21 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [50] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:18 [inlined] [51] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [52] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [14.0] : [-3.879854498436067, -0.42523866501444674] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [18.849999999999998] : [6.660726421642993, 1.9140837714172898] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [11.0] : [-2.965541989238988, -1.8472848841467324] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 8: Error During Test at /home/pkgeval/.julia/packages/BOSS/obD9H/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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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#58 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:95 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:94 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:510 [12] (::Turing.Inference.var"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:312 [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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:133 [18] step @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:116 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [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:651 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 [26] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:93 [28] sample @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:83 [inlined] [29] #sample#112 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:31 [inlined] [30] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:22 [inlined] [31] #sample#111 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:19 [inlined] [32] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:16 [inlined] [33] #sample_chains##0 @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [inlined] [34] _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}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [35] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [36] mapreduce @ ./reducedim.jl:330 [inlined] [37] 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}) @ TuringExt ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [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/obD9H/ext/TuringExt.jl:48 [39] _estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:38 [inlined] [40] 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/obD9H/ext/TuringExt.jl:34 [41] estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:23 [inlined] [42] 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/obD9H/src/bo.jl:82 [43] estimate_parameters! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:80 [inlined] [44] 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/obD9H/src/bo.jl:37 [45] bo! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:30 [inlined] [46] (::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/obD9H/test/combinatorial/dummy_problem.jl:22 [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:750 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:23 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [50] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:18 [inlined] [51] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [52] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [17.0] : [-4.640864016816509, 1.0101541856537843] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... Test 11: Error During Test at /home/pkgeval/.julia/packages/BOSS/obD9H/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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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#58 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:95 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:94 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:510 [12] (::Turing.Inference.var"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:312 [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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:133 [18] step @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:116 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [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:651 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 [26] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:93 [28] sample @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:83 [inlined] [29] #sample#112 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:31 [inlined] [30] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:22 [inlined] [31] #sample#111 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:19 [inlined] [32] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:16 [inlined] [33] #sample_chains##0 @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [inlined] [34] _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}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [35] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [36] mapreduce @ ./reducedim.jl:330 [inlined] [37] 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}) @ TuringExt ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [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/obD9H/ext/TuringExt.jl:48 [39] _estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:38 [inlined] [40] 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/obD9H/ext/TuringExt.jl:34 [41] estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:23 [inlined] [42] estimate_parameters!(problem::BossProblem{Missing}, model_fitter::TuringExt.TuringBI{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; options::BossOptions) @ BOSS ~/.julia/packages/BOSS/obD9H/src/bo.jl:82 [43] estimate_parameters! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:80 [inlined] [44] #bo!#38 @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:56 [inlined] [45] bo! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:50 [inlined] [46] (::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/obD9H/test/combinatorial/dummy_problem.jl:16 [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:750 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:21 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [50] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:18 [inlined] [51] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [52] top-level scope @ ~/.julia/packages/BOSS/obD9H/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: [9.0] : [1.7453222374532398, -2.199699947820916] [ 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/obD9H/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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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#58 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:95 [inlined] [8] TapedTask @ ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:94 [inlined] [9] AdvancedPS.LibtaskModel(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:38 [10] AdvancedPS.Trace(::Turing.Inference.TracedModel{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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{}, DynamicPPL.SamplingContext{DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.DefaultContext, AdvancedPS.TracedRNG{UInt64, 1, Random123.Philox2x{UInt64, 10}}}}, 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/mkUwY/ext/AdvancedPSLibtaskExt.jl:84 [11] AdvancedPS.Trace(model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, varinfo::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:510 [12] (::Turing.Inference.var"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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"#68#69"{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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, 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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}; kwargs::@Kwargs{initial_params::Nothing}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:325 [16] kwcall(::@NamedTuple{initial_params::Nothing}, ::typeof(DynamicPPL.initialstep), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, vi::DynamicPPL.VarInfo{@NamedTuple{ps::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:ps, typeof(identity)}, Int64}, Vector{BOSS.ModelParamsPrior}, Vector{AbstractPPL.VarName{:ps, typeof(identity)}}, Vector{Float64}}}, DynamicPPL.AccumulatorTuple{3, @NamedTuple{LogPrior::DynamicPPL.LogPriorAccumulator{Float64}, LogJacobian::DynamicPPL.LogJacobianAccumulator{Float64}, LogLikelihood::DynamicPPL.LogLikelihoodAccumulator{Float64}}}}) @ Turing.Inference ~/.julia/packages/Turing/nZgyL/src/mcmc/particle_mcmc.jl:312 [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}, spl::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}; initial_params::Nothing, kwargs::@Kwargs{}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:133 [18] step @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:116 [inlined] [19] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:188 [inlined] [20] (::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64})() @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 [21] with_logstate(f::AbstractMCMC.var"#27#28"{Nothing, Int64, Int64, Int64, Type{Chains}, Nothing, @Kwargs{}, Random.TaskLocalRNG, DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, Int64, Float64, Int64, Int64}, logstate::Base.CoreLogging.LogState) @ Base.CoreLogging ./logging/logging.jl:540 [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:651 [23] with_progresslogger(f::Function, _module::Module, logger::Base.CoreLogging.ConsoleLogger) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:157 [24] macro expansion @ ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; progress::Bool, progressname::String, callback::Nothing, num_warmup::Int64, discard_initial::Int64, thinning::Int64, chain_type::Type, initial_state::Nothing, kwargs::@Kwargs{}) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 [26] kwcall(::@NamedTuple{chain_type::UnionAll, initial_state::Nothing, progress::Bool}, ::typeof(AbstractMCMC.mcmcsample), rng::Random.TaskLocalRNG, model::DynamicPPL.Model{typeof(TuringExt.turing_model), (:params_prior, :data_loglike), (), (), Tuple{BOSS.ModelParamsPrior, TuringExt.var"#data_loglike_#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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64) @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/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}, sampler::DynamicPPL.Sampler{PG{AdvancedPS.ResampleWithESSThreshold{typeof(AdvancedPS.resample_systematic), Float64}}}, N::Int64; chain_type::Type, resume_from::Nothing, initial_state::Nothing, kwargs::@Kwargs{progress::Bool}) @ DynamicPPL ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:93 [28] sample @ ~/.julia/packages/DynamicPPL/R1CV0/src/sampler.jl:83 [inlined] [29] #sample#112 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:31 [inlined] [30] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:22 [inlined] [31] #sample#111 @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:19 [inlined] [32] sample @ ~/.julia/packages/Turing/nZgyL/src/mcmc/abstractmcmc.jl:16 [inlined] [33] #sample_chains##0 @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [inlined] [34] _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}, Int64}, op::typeof(chainscat), ::IndexLinear, A::UnitRange{Int64}) @ Base ./reduce.jl:439 [35] _mapreduce_dim @ ./reducedim.jl:338 [inlined] [36] mapreduce @ ./reducedim.jl:330 [inlined] [37] 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}) @ TuringExt ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:93 [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/obD9H/ext/TuringExt.jl:48 [39] _estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:38 [inlined] [40] 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/obD9H/ext/TuringExt.jl:34 [41] estimate_parameters @ ~/.julia/packages/BOSS/obD9H/ext/TuringExt.jl:23 [inlined] [42] 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/obD9H/src/bo.jl:82 [43] estimate_parameters! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:80 [inlined] [44] 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/obD9H/src/bo.jl:37 [45] bo! @ ~/.julia/packages/BOSS/obD9H/src/bo.jl:30 [inlined] [46] (::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/obD9H/test/combinatorial/dummy_problem.jl:22 [47] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:750 [inlined] [48] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:23 [inlined] [49] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [50] macro expansion @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:18 [inlined] [51] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [52] top-level scope @ ~/.julia/packages/BOSS/obD9H/test/combinatorial/runtests.jl:11 [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [10.210500225493067] : [-0.02262108824918136, -1.9830251248588067] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [16.636282989905858] : [-1.6263420373474062, 0.7891648281161286] [ Info: Estimating model parameters ... [ Info: Estimating model parameters ... [ Info: Maximizing acquisition function ... [ Info: Evaluating objective function ... [ Info: New data point: [10.731661812623443] : [-2.5317178352686636, -1.8802328384679627] [ Info: Estimating model parameters ... Test Summary: | Pass Error Total Time BOSS TESTS | 283 5 288 9m29.0s Code quality (Aqua.jl) | 11 11 1m28.4s Unit Tests | 258 1 259 4m52.2s acquisitions | 47 47 44.7s models | 87 87 2m15.7s posterior.jl | 1 1 1m18.5s average_mean(posteriors) | 1 1 1m18.4s term_conds | 2 2 1.2s types | 76 76 12.0s utils | 46 46 18.2s Combinatorial Tests | 14 4 18 2m35.5s Test 1 | 1 1 8.2s Test 2 | 1 1 15.4s Test 3 | 1 1 7.0s Test 4 | 1 1 50.0s Test 5 | 1 1 6.9s Test 6 | 1 1 7.1s Test 7 | 1 1 14.7s Test 8 | 1 1 10.7s Test 9 | 1 1 5.7s Test 10 | 1 1 3.1s Test 11 | 1 1 5.7s Test 12 | 1 1 6.2s Test 13 | 1 1 5.0s Test 14 | 1 1 3.0s Test 15 | 1 1 1.0s Test 16 | 1 1 1.5s Test 17 | 1 1 3.8s Test 18 | 1 1 0.0s RNG of the outermost testset: Random.Xoshiro(0xc2bd93ded79182a8, 0x127053655b92e37a, 0xa3aca539d5179023, 0xa9e026ac68860d7c, 0xd18ed6e6ef6a5c29) ERROR: LoadError: Some tests did not pass: 283 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/BOSS/obD9H/test/runtests.jl:17 Testing failed after 1163.26s 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:2946 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2795 [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:219 [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:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1571.3s: package tests unexpectedly errored